{"id":25653368,"date":"2026-07-14T10:20:37","date_gmt":"2026-07-14T04:50:37","guid":{"rendered":"https:\/\/entri.app\/blog\/?p=25653368"},"modified":"2026-07-14T10:28:39","modified_gmt":"2026-07-14T04:58:39","slug":"what-is-rag-retrieval-augmented-generation","status":"publish","type":"post","link":"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/","title":{"rendered":"What Is RAG (Retrieval-Augmented Generation)? Explained for Developers"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_79_2 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a55e4d780b0c\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a55e4d780b0c\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#Introduction\" >Introduction<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#What_is_Retrieval-Augmented_Generation_RAG\" >What is Retrieval-Augmented Generation (RAG)?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#How_RAG_Works\" >How RAG Works<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#Core_Components_of_a_RAG_System\" >Core Components of a RAG System<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#Why_Developers_Use_RAG\" >Why Developers Use RAG<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#Common_RAG_Architecture\" >Common RAG Architecture<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#Real-World_Use_Cases\" >Real-World Use Cases<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#Popular_Tools_and_Technologies\" >Popular Tools and Technologies<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#Best_Practices_for_Building_RAG_Applications\" >Best Practices for Building RAG Applications<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#Challenges_and_Limitations\" >Challenges and Limitations<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#RAG_vs_Fine-Tuning\" >RAG vs Fine-Tuning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#Future_of_Retrieval-Augmented_Generation\" >Future of Retrieval-Augmented Generation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#Conclusion\" >Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<h3 class=\"PDq2pG_selectionAnchorContainer\" data-section-id=\"ieuezb\" data-start=\"0\" data-end=\"17\"><strong>Key Takeaways<\/strong><\/h3>\n<ul data-start=\"19\" data-end=\"174\" data-is-last-node=\"\" data-is-only-node=\"\">\n<li data-section-id=\"1u4legh\" data-start=\"19\" data-end=\"51\">RAG helps AI find information.<\/li>\n<li data-section-id=\"moso83\" data-start=\"52\" data-end=\"79\">RAG gives better answers.<\/li>\n<li data-section-id=\"f0gp3j\" data-start=\"80\" data-end=\"108\">RAG helps reduce mistakes.<\/li>\n<li data-section-id=\"108322y\" data-start=\"109\" data-end=\"140\">RAG is useful for developers.<\/li>\n<li data-section-id=\"1j0w2r0\" data-start=\"141\" data-end=\"174\" data-is-last-node=\"\">RAG helps build better AI apps.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Introduction\"><\/span><strong>Introduction<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"qMYqUG_convSearchResultHighlightRoot\">\n<div class=\"\" data-turn-id-container=\"request-6a33cf95-1c38-83ee-8c13-45ddeacbad69-9\" data-is-intersecting=\"true\">\n<section class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a33cf95-1c38-83ee-8c13-45ddeacbad69-9\" data-turn-id-container=\"request-6a33cf95-1c38-83ee-8c13-45ddeacbad69-9\" data-testid=\"conversation-turn-1266\" data-turn=\"assistant\">\n<div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\">\n<div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" data-conversation-screenshot-content=\"\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"31bd9c1f-9e56-46ae-9694-53c1c143f810\" data-message-model-slug=\"gpt-5-5\" data-turn-start-message=\"true\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert wrap-break-word w-full dark markdown-new-styling\">\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"17\" data-end=\"74\">Artificial Intelligence (AI) helps many developers today.<\/p>\n<p data-start=\"76\" data-end=\"110\">It makes coding easier and faster.<\/p>\n<p data-start=\"112\" data-end=\"128\">AI can help you:<\/p>\n<ul data-start=\"130\" data-end=\"196\">\n<li data-section-id=\"hq9f4o\" data-start=\"130\" data-end=\"142\">Write code<\/li>\n<li data-section-id=\"5hrt84\" data-start=\"143\" data-end=\"155\">Fix errors<\/li>\n<li data-section-id=\"1002jfm\" data-start=\"156\" data-end=\"170\">Explain code<\/li>\n<li data-section-id=\"exvwn5\" data-start=\"171\" data-end=\"196\">Answer coding questions<\/li>\n<\/ul>\n<p data-start=\"198\" data-end=\"234\">\ud83d\udc49 Many developers use AI every day.<\/p>\n<h3 data-section-id=\"laza0p\" data-start=\"236\" data-end=\"298\"><span role=\"text\"><strong data-start=\"240\" data-end=\"298\">Why Large Language Models (LLMs) Have Some Limitations<\/strong><\/span><\/h3>\n<p data-start=\"300\" data-end=\"345\">Large Language Models (LLMs) are very useful.<\/p>\n<p data-start=\"347\" data-end=\"373\">But they have some limits.<\/p>\n<p data-start=\"375\" data-end=\"394\">Sometimes they may:<\/p>\n<ul data-start=\"396\" data-end=\"499\">\n<li data-section-id=\"a1484w\" data-start=\"396\" data-end=\"419\">Give old information.<\/li>\n<li data-section-id=\"17w6mqf\" data-start=\"420\" data-end=\"441\">Give wrong answers.<\/li>\n<li data-section-id=\"1hocq7a\" data-start=\"442\" data-end=\"467\">Miss important details.<\/li>\n<li data-section-id=\"1w24g35\" data-start=\"468\" data-end=\"499\">Not know your latest project.<\/li>\n<\/ul>\n<p data-start=\"501\" data-end=\"544\">\ud83d\udc49 AI does not always know new information.<\/p>\n<p data-start=\"546\" data-end=\"605\">Because of this, developers should always check AI answers.<\/p>\n<h3 data-section-id=\"cztihf\" data-start=\"607\" data-end=\"675\"><span role=\"text\"><strong data-start=\"611\" data-end=\"675\">How Retrieval-Augmented Generation (RAG) Solves This Problem<\/strong><\/span><\/h3>\n<p data-start=\"677\" data-end=\"761\">Retrieval-Augmented Generation (RAG) helps AI find new information before answering.<\/p>\n<p data-start=\"763\" data-end=\"777\">It can search:<\/p>\n<ul data-start=\"779\" data-end=\"829\">\n<li data-section-id=\"1ccf784\" data-start=\"779\" data-end=\"790\">Documents<\/li>\n<li data-section-id=\"1w57mf2\" data-start=\"791\" data-end=\"802\">Databases<\/li>\n<li data-section-id=\"174f0io\" data-start=\"803\" data-end=\"813\">Websites<\/li>\n<li data-section-id=\"123z688\" data-start=\"814\" data-end=\"829\">Project files<\/li>\n<\/ul>\n<p data-start=\"831\" data-end=\"883\">\ud83d\udc49 Then AI uses that information to give the answer.<\/p>\n<p data-start=\"885\" data-end=\"904\">This helps AI give:<\/p>\n<ul data-start=\"906\" data-end=\"994\">\n<li data-section-id=\"1ckrzdj\" data-start=\"906\" data-end=\"922\">Better answers<\/li>\n<li data-section-id=\"19in20o\" data-start=\"923\" data-end=\"940\">New information<\/li>\n<li data-section-id=\"rizj09\" data-start=\"941\" data-end=\"963\">More correct results<\/li>\n<li data-section-id=\"tkf5h2\" data-start=\"964\" data-end=\"994\">Better help for your project<\/li>\n<\/ul>\n<p data-start=\"996\" data-end=\"1051\" data-is-last-node=\"\" data-is-only-node=\"\">\ud83d\udc49 RAG makes AI smarter and more useful for developers.<\/p>\n<p style=\"text-align: center\" data-start=\"996\" data-end=\"1051\" data-is-last-node=\"\" data-is-only-node=\"\"><strong><a class=\"in-cell-link\" href=\"https:\/\/entri.app\/course\/full-stack-developer-course\/?utm_source=coding&amp;utm_medium=blog_referral&amp;utm_campaign=prompt-engineering-for-developers-practical-guide\" target=\"_blank\" rel=\"noopener\">Experience the power of our web development course with a free demo \u2013 Enroll now!<\/a><\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_is_Retrieval-Augmented_Generation_RAG\"><\/span><strong>What is Retrieval-Augmented Generation (RAG)?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"qMYqUG_convSearchResultHighlightRoot\">\n<div class=\"\" data-turn-id-container=\"request-6a33cf95-1c38-83ee-8c13-45ddeacbad69-10\" data-is-intersecting=\"true\">\n<section class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a33cf95-1c38-83ee-8c13-45ddeacbad69-10\" data-turn-id-container=\"request-6a33cf95-1c38-83ee-8c13-45ddeacbad69-10\" data-testid=\"conversation-turn-1268\" data-turn=\"assistant\">\n<div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\">\n<div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" data-conversation-screenshot-content=\"\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"f7757a2b-ec46-4eeb-971e-166fa9584d5a\" data-message-model-slug=\"gpt-5-5\" data-turn-start-message=\"true\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert wrap-break-word w-full dark markdown-new-styling\">\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"50\" data-end=\"108\">Retrieval-Augmented Generation (RAG) is a smart AI method. It helps AI find new information before giving an answer.<\/p>\n<p data-start=\"169\" data-end=\"222\">\ud83d\udc49 RAG helps AI give better and more correct answers.<\/p>\n<h3 data-section-id=\"1s02mwt\" data-start=\"224\" data-end=\"244\"><span role=\"text\"><strong data-start=\"228\" data-end=\"244\">What Is RAG?<\/strong><\/span><\/h3>\n<p data-start=\"246\" data-end=\"263\">RAG has two jobs. First, it finds useful information. Then, it uses that information to answer your question.<\/p>\n<p data-start=\"359\" data-end=\"399\">\ud83d\udc49 It does not answer from memory alone.<\/p>\n<h3 data-section-id=\"15o2vs1\" data-start=\"401\" data-end=\"427\"><span role=\"text\"><strong data-start=\"405\" data-end=\"427\">How Does RAG Work?<\/strong><\/span><\/h3>\n<p data-start=\"429\" data-end=\"455\">RAG works in simple steps.<\/p>\n<h4 data-start=\"457\" data-end=\"490\"><span role=\"text\"><strong data-start=\"462\" data-end=\"490\">Step 1: Find Information<\/strong><\/span><\/h4>\n<p data-start=\"492\" data-end=\"535\">First, RAG searches for useful information.<\/p>\n<p data-start=\"537\" data-end=\"551\">It can search:<\/p>\n<ul data-start=\"553\" data-end=\"610\">\n<li data-section-id=\"1ccf784\" data-start=\"553\" data-end=\"564\">Documents<\/li>\n<li data-section-id=\"174f0io\" data-start=\"565\" data-end=\"575\">Websites<\/li>\n<li data-section-id=\"1w57mf2\" data-start=\"576\" data-end=\"587\">Databases<\/li>\n<li data-section-id=\"123z688\" data-start=\"588\" data-end=\"603\">Project files<\/li>\n<li data-section-id=\"1j4apxl\" data-start=\"604\" data-end=\"610\">PDFs<\/li>\n<\/ul>\n<p data-start=\"612\" data-end=\"645\">\ud83d\udc49 It finds the best information.<\/p>\n<h4 data-start=\"647\" data-end=\"681\"><span role=\"text\"><strong data-start=\"652\" data-end=\"681\">Step 2: Create the Answer<\/strong><\/span><\/h4>\n<p data-start=\"683\" data-end=\"713\">After finding the information, AI reads it. Then AI creates the answer.<\/p>\n<p data-start=\"758\" data-end=\"792\">\ud83d\udc49 The answer becomes more useful.<\/p>\n<h3 data-section-id=\"mecpsb\" data-start=\"794\" data-end=\"841\"><span role=\"text\"><strong data-start=\"798\" data-end=\"841\">How Is RAG Different from a Normal LLM?<\/strong><\/span><\/h3>\n<p data-start=\"843\" data-end=\"893\">A normal LLM answers from what it already learned.<\/p>\n<p data-start=\"895\" data-end=\"912\">Sometimes it may:<\/p>\n<ul data-start=\"914\" data-end=\"976\">\n<li data-section-id=\"1bnondq\" data-start=\"914\" data-end=\"936\">Give old information<\/li>\n<li data-section-id=\"gcul4i\" data-start=\"937\" data-end=\"955\">Miss new details<\/li>\n<li data-section-id=\"11x6nix\" data-start=\"956\" data-end=\"976\">Give wrong answers<\/li>\n<\/ul>\n<p data-start=\"978\" data-end=\"1019\">\ud83d\udc49 It cannot always find new information.<\/p>\n<p data-start=\"1021\" data-end=\"1043\">RAG works differently. Before answering, it searches for the latest information. Then it creates the answer.<\/p>\n<p data-start=\"1133\" data-end=\"1172\">\ud83d\udc49 This gives better and newer answers.<\/p>\n<h3 data-section-id=\"4okfhi\" data-start=\"1174\" data-end=\"1208\"><span role=\"text\"><strong data-start=\"1178\" data-end=\"1208\">Why Do Developers Use RAG?<\/strong><\/span><\/h3>\n<p data-start=\"1210\" data-end=\"1249\">Developers use RAG because it helps AI:<\/p>\n<ul data-start=\"1251\" data-end=\"1366\">\n<li data-section-id=\"6ldqys\" data-start=\"1251\" data-end=\"1273\">Give correct answers<\/li>\n<li data-section-id=\"pqgrob\" data-start=\"1274\" data-end=\"1295\">Use new information<\/li>\n<li data-section-id=\"14ofhxo\" data-start=\"1296\" data-end=\"1322\">Understand project files<\/li>\n<li data-section-id=\"13324k7\" data-start=\"1323\" data-end=\"1340\">Reduce mistakes<\/li>\n<li data-section-id=\"w8fha4\" data-start=\"1341\" data-end=\"1366\">Give better coding help<\/li>\n<\/ul>\n<p data-start=\"1368\" data-end=\"1421\" data-is-last-node=\"\" data-is-only-node=\"\">\ud83d\udc49 RAG makes AI more useful for software development.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"How_RAG_Works\"><\/span><strong>How RAG Works<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"qMYqUG_convSearchResultHighlightRoot\">\n<div class=\"\" data-turn-id-container=\"request-6a33cf95-1c38-83ee-8c13-45ddeacbad69-11\" data-is-intersecting=\"true\">\n<section class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a33cf95-1c38-83ee-8c13-45ddeacbad69-11\" data-turn-id-container=\"request-6a33cf95-1c38-83ee-8c13-45ddeacbad69-11\" data-testid=\"conversation-turn-1270\" data-turn=\"assistant\">\n<div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\">\n<div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" data-conversation-screenshot-content=\"\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"2351b457-4582-44ca-aef8-076859c69efa\" data-message-model-slug=\"gpt-5-5\" data-turn-start-message=\"true\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert wrap-break-word w-full dark markdown-new-styling\">\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"18\" data-end=\"50\">RAG works in a few simple steps. Each step helps AI find the right information before giving an answer.<\/p>\n<p data-start=\"124\" data-end=\"178\">\ud83d\udc49 This helps AI give better and more correct answers.<\/p>\n<h3 data-section-id=\"nu8rul\" data-start=\"180\" data-end=\"198\"><span role=\"text\"><strong data-start=\"184\" data-end=\"198\">User Query<\/strong><\/span><\/h3>\n<p data-start=\"200\" data-end=\"234\">Everything starts with a question. The user asks AI something.<\/p>\n<p data-start=\"265\" data-end=\"277\">For example:<\/p>\n<ul data-start=\"279\" data-end=\"345\">\n<li data-section-id=\"12fx996\" data-start=\"279\" data-end=\"302\">Explain Python loops.<\/li>\n<li data-section-id=\"n7ah46\" data-start=\"303\" data-end=\"319\">What is React?<\/li>\n<li data-section-id=\"znglqu\" data-start=\"320\" data-end=\"345\">How do I create an API?<\/li>\n<\/ul>\n<p data-start=\"347\" data-end=\"378\">\ud83d\udc49 AI first reads the question.<\/p>\n<h3 data-section-id=\"1q33obz\" data-start=\"380\" data-end=\"408\"><span role=\"text\"><strong data-start=\"384\" data-end=\"408\">Embedding Generation<\/strong><\/span><\/h3>\n<p data-start=\"410\" data-end=\"475\">After reading the question, RAG changes it into a special format. This format helps the computer understand the meaning of the question.<\/p>\n<p data-start=\"549\" data-end=\"601\">\ud83d\udc49 AI now knows what information it should look for.<\/p>\n<h3 data-section-id=\"1t547ox\" data-start=\"711\" data-end=\"732\"><span role=\"text\"><strong data-start=\"715\" data-end=\"732\">Vector Search<\/strong><\/span><\/h3>\n<p data-start=\"734\" data-end=\"759\">Now RAG starts searching. It looks for information that is very similar to the user&#8217;s question.<\/p>\n<p data-start=\"832\" data-end=\"859\">It searches in places like:<\/p>\n<ul data-start=\"861\" data-end=\"918\">\n<li data-section-id=\"1ccf784\" data-start=\"861\" data-end=\"872\">Documents<\/li>\n<li data-section-id=\"1w57mf2\" data-start=\"873\" data-end=\"884\">Databases<\/li>\n<li data-section-id=\"123z688\" data-start=\"885\" data-end=\"900\">Project files<\/li>\n<li data-section-id=\"1jhhxcs\" data-start=\"901\" data-end=\"918\">Knowledge bases<\/li>\n<\/ul>\n<p data-start=\"920\" data-end=\"970\">\ud83d\udc49 It tries to find the best matching information.<\/p>\n<h3 data-section-id=\"1sy84vk\" data-start=\"972\" data-end=\"1011\"><span role=\"text\"><strong data-start=\"976\" data-end=\"1011\">Retrieval from a Knowledge Base<\/strong><\/span><\/h3>\n<p data-start=\"1013\" data-end=\"1062\">After searching, RAG collects useful information. This information comes from a knowledge base.<\/p>\n<p data-start=\"1111\" data-end=\"1140\">A knowledge base may contain:<\/p>\n<ul data-start=\"1142\" data-end=\"1232\">\n<li data-section-id=\"17iy9gz\" data-start=\"1142\" data-end=\"1161\">Company documents<\/li>\n<li data-section-id=\"l0cqb4\" data-start=\"1162\" data-end=\"1175\">User guides<\/li>\n<li data-section-id=\"1j4apxl\" data-start=\"1176\" data-end=\"1182\">PDFs<\/li>\n<li data-section-id=\"1m3q0ng\" data-start=\"1183\" data-end=\"1198\">API documents<\/li>\n<li data-section-id=\"123z688\" data-start=\"1199\" data-end=\"1214\">Project files<\/li>\n<li data-section-id=\"vkn2y\" data-start=\"1215\" data-end=\"1232\">Website content<\/li>\n<\/ul>\n<p data-start=\"1234\" data-end=\"1282\">\ud83d\udc49 RAG selects only the most useful information.<\/p>\n<h3 data-section-id=\"ge237z\" data-start=\"1317\" data-end=\"1358\"><span role=\"text\"><strong data-start=\"1321\" data-end=\"1358\">Context Injection into the Prompt<\/strong><\/span><\/h3>\n<p data-start=\"1360\" data-end=\"1421\">Now RAG adds the information it found to the user&#8217;s question. This extra information is called <strong data-start=\"1456\" data-end=\"1467\">context<\/strong>.<\/p>\n<p data-start=\"1470\" data-end=\"1490\">The AI now receives:<\/p>\n<ul data-start=\"1492\" data-end=\"1538\">\n<li data-section-id=\"1hvda56\" data-start=\"1492\" data-end=\"1513\">The user&#8217;s question<\/li>\n<li data-section-id=\"15qts81\" data-start=\"1514\" data-end=\"1538\">The useful information<\/li>\n<\/ul>\n<p data-start=\"1540\" data-end=\"1584\">\ud83d\udc49 AI now has more details before answering.<\/p>\n<h3 data-section-id=\"1n9sng\" data-start=\"1631\" data-end=\"1669\"><span role=\"text\"><strong data-start=\"1635\" data-end=\"1669\">Response Generation by the LLM<\/strong><\/span><\/h3>\n<p data-start=\"1671\" data-end=\"1728\">Finally, the Large Language Model (LLM) reads everything.<\/p>\n<p data-start=\"1730\" data-end=\"1739\">It reads:<\/p>\n<ul data-start=\"1741\" data-end=\"1793\">\n<li data-section-id=\"1hvda56\" data-start=\"1741\" data-end=\"1762\">The user&#8217;s question<\/li>\n<li data-section-id=\"1v5k7c4\" data-start=\"1763\" data-end=\"1793\">The information found by RAG<\/li>\n<\/ul>\n<p data-start=\"1795\" data-end=\"1828\">Then it creates the final answer.<\/p>\n<p data-start=\"1830\" data-end=\"1847\">\ud83d\udc49 The answer is:<\/p>\n<ul data-start=\"1849\" data-end=\"1922\">\n<li data-section-id=\"1ax9gh7\" data-start=\"1849\" data-end=\"1864\">More accurate<\/li>\n<li data-section-id=\"fsbypt\" data-start=\"1865\" data-end=\"1878\">More useful<\/li>\n<li data-section-id=\"qgn92v\" data-start=\"1879\" data-end=\"1896\">More up to date<\/li>\n<li data-section-id=\"1bu182v\" data-start=\"1897\" data-end=\"1922\">Better for your project<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"Core_Components_of_a_RAG_System\"><\/span><strong>Core Components of a RAG System<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"qMYqUG_convSearchResultHighlightRoot\">\n<div class=\"\" data-turn-id-container=\"6be6e9dc-f9d7-4ded-a71e-3d51853ce922\" data-is-intersecting=\"true\">\n<section class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"6be6e9dc-f9d7-4ded-a71e-3d51853ce922\" data-turn-id-container=\"6be6e9dc-f9d7-4ded-a71e-3d51853ce922\" data-testid=\"conversation-turn-1272\" data-turn=\"assistant\">\n<div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\">\n<div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" data-conversation-screenshot-content=\"\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"6be6e9dc-f9d7-4ded-a71e-3d51853ce922\" data-turn-start-message=\"true\" data-message-model-slug=\"gpt-5-5\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert wrap-break-word w-full dark markdown-new-styling\">\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"36\" data-end=\"69\">A RAG system has different parts. Each part has a simple job.<\/p>\n<p data-start=\"100\" data-end=\"154\">\ud83d\udc49 All the parts work together to give better answers.<\/p>\n<h3 data-section-id=\"bpc7ii\" data-start=\"156\" data-end=\"190\"><span role=\"text\"><strong data-start=\"160\" data-end=\"190\">Large Language Model (LLM)<\/strong><\/span><\/h3>\n<p data-start=\"192\" data-end=\"238\">The LLM is the AI that gives the final answer.<\/p>\n<p data-start=\"240\" data-end=\"247\">It can:<\/p>\n<ul data-start=\"249\" data-end=\"314\">\n<li data-section-id=\"14z0ysr\" data-start=\"249\" data-end=\"270\">Read your question.<\/li>\n<li data-section-id=\"5v098h\" data-start=\"271\" data-end=\"294\">Read the information.<\/li>\n<li data-section-id=\"loso0u\" data-start=\"295\" data-end=\"314\">Write the answer.<\/li>\n<\/ul>\n<p data-start=\"316\" data-end=\"349\">\ud83d\udc49 It creates the final response.<\/p>\n<h3 data-section-id=\"w3vy1y\" data-start=\"351\" data-end=\"374\"><span role=\"text\"><strong data-start=\"355\" data-end=\"374\">Embedding Model<\/strong><\/span><\/h3>\n<p data-start=\"376\" data-end=\"430\">The embedding model helps AI understand your question.<\/p>\n<p data-start=\"432\" data-end=\"469\">It looks at the meaning of the words.<\/p>\n<p data-start=\"471\" data-end=\"515\">\ud83d\udc49 This helps AI find the right information.<\/p>\n<h3 data-section-id=\"11ye9q2\" data-start=\"517\" data-end=\"540\"><span role=\"text\"><strong data-start=\"521\" data-end=\"540\">Vector Database<\/strong><\/span><\/h3>\n<p data-start=\"542\" data-end=\"581\">The vector database stores information.<\/p>\n<p data-start=\"583\" data-end=\"610\">It helps AI search quickly.<\/p>\n<p data-start=\"612\" data-end=\"625\">It may store:<\/p>\n<ul data-start=\"627\" data-end=\"679\">\n<li data-section-id=\"1ccf784\" data-start=\"627\" data-end=\"638\">Documents<\/li>\n<li data-section-id=\"123z688\" data-start=\"639\" data-end=\"654\">Project files<\/li>\n<li data-section-id=\"vkn2y\" data-start=\"655\" data-end=\"672\">Website content<\/li>\n<li data-section-id=\"1j4apxl\" data-start=\"673\" data-end=\"679\">PDFs<\/li>\n<\/ul>\n<p data-start=\"681\" data-end=\"720\">\ud83d\udc49 It helps AI find information faster.<\/p>\n<h3 data-section-id=\"1kbo4jl\" data-start=\"722\" data-end=\"744\"><span role=\"text\"><strong data-start=\"726\" data-end=\"744\">Knowledge Base<\/strong><\/span><\/h3>\n<p data-start=\"746\" data-end=\"794\">The knowledge base is where information is kept.<\/p>\n<p data-start=\"796\" data-end=\"811\">It may contain:<\/p>\n<ul data-start=\"813\" data-end=\"876\">\n<li data-section-id=\"16xvxyq\" data-start=\"813\" data-end=\"820\">Books<\/li>\n<li data-section-id=\"1ccf784\" data-start=\"821\" data-end=\"832\">Documents<\/li>\n<li data-section-id=\"lt2pga\" data-start=\"833\" data-end=\"848\">Company files<\/li>\n<li data-section-id=\"1mylak9\" data-start=\"849\" data-end=\"861\">API guides<\/li>\n<li data-section-id=\"7iv6kw\" data-start=\"862\" data-end=\"876\">User manuals<\/li>\n<\/ul>\n<p data-start=\"878\" data-end=\"911\">\ud83d\udc49 AI gets information from here.<\/p>\n<h3 data-section-id=\"1f4ai2i\" data-start=\"913\" data-end=\"930\"><span role=\"text\"><strong data-start=\"917\" data-end=\"930\">Retriever<\/strong><\/span><\/h3>\n<p data-start=\"932\" data-end=\"974\">The retriever searches the knowledge base.<\/p>\n<p data-start=\"976\" data-end=\"1028\">It finds the information that matches your question.<\/p>\n<p data-start=\"1030\" data-end=\"1070\">\ud83d\udc49 It brings the best information to AI.<\/p>\n<h3 data-section-id=\"1vz7x0y\" data-start=\"1072\" data-end=\"1095\"><span role=\"text\"><strong data-start=\"1076\" data-end=\"1095\">Prompt Template<\/strong><\/span><\/h3>\n<p data-start=\"1097\" data-end=\"1142\">The prompt template puts everything together.<\/p>\n<p data-start=\"1144\" data-end=\"1156\">It combines:<\/p>\n<ul data-start=\"1158\" data-end=\"1204\">\n<li data-section-id=\"17pt2nr\" data-start=\"1158\" data-end=\"1173\">Your question<\/li>\n<li data-section-id=\"1v5k7c4\" data-start=\"1174\" data-end=\"1204\">The information found by RAG<\/li>\n<\/ul>\n<p data-start=\"1206\" data-end=\"1241\">Then it sends everything to the AI.<\/p>\n<p data-start=\"1243\" data-end=\"1291\">\ud83d\udc49 This helps AI understand the question better.<\/p>\n<h3 data-section-id=\"1kpnru0\" data-start=\"1293\" data-end=\"1321\"><span role=\"text\"><strong data-start=\"1297\" data-end=\"1321\">Reranking (Optional)<\/strong><\/span><\/h3>\n<p data-start=\"1323\" data-end=\"1363\">Sometimes many search results are found.<\/p>\n<p data-start=\"1365\" data-end=\"1397\">Reranking chooses the best ones.<\/p>\n<p data-start=\"1399\" data-end=\"1434\">It removes less useful information.<\/p>\n<p data-start=\"1436\" data-end=\"1483\">\ud83d\udc49 AI gets better information before answering.<\/p>\n<h3 data-section-id=\"zxj7vy\" data-start=\"1485\" data-end=\"1522\"><span role=\"text\"><strong data-start=\"1489\" data-end=\"1522\">How These Parts Work Together<\/strong><\/span><\/h3>\n<p data-start=\"1524\" data-end=\"1559\">All these parts work as one system.<\/p>\n<p data-start=\"1561\" data-end=\"1574\">They help AI:<\/p>\n<ul data-start=\"1576\" data-end=\"1661\">\n<li data-section-id=\"1hwnvc1\" data-start=\"1576\" data-end=\"1594\">Find information<\/li>\n<li data-section-id=\"1wdq7lf\" data-start=\"1595\" data-end=\"1621\">Understand your question<\/li>\n<li data-section-id=\"5d3uju\" data-start=\"1622\" data-end=\"1643\">Give better answers<\/li>\n<li data-section-id=\"13324k7\" data-start=\"1644\" data-end=\"1661\">Reduce mistakes<\/li>\n<\/ul>\n<p data-start=\"1663\" data-end=\"1714\" data-is-last-node=\"\" data-is-only-node=\"\">\ud83d\udc49 Every part has an important job in a RAG system.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"Why_Developers_Use_RAG\"><\/span><strong>Why Developers Use RAG<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"27\" data-end=\"91\">Many developers use RAG because it helps AI give better answers.<\/p>\n<p data-start=\"93\" data-end=\"146\">\ud83d\udc49 RAG makes AI more useful for software development.<\/p>\n<h3 data-section-id=\"lyozec\" data-start=\"148\" data-end=\"178\"><span role=\"text\"><strong data-start=\"152\" data-end=\"178\">Reduced Hallucinations<\/strong><\/span><\/h3>\n<p data-start=\"180\" data-end=\"213\">Sometimes AI gives wrong answers. RAG helps reduce these mistakes. It uses real information before answering.<\/p>\n<p data-start=\"293\" data-end=\"324\">\ud83d\udc49 Answers become more correct.<\/p>\n<h3 data-section-id=\"olm16k\" data-start=\"326\" data-end=\"363\"><span role=\"text\"><strong data-start=\"330\" data-end=\"363\">Access to Current Information<\/strong><\/span><\/h3>\n<p data-start=\"365\" data-end=\"404\">Normal AI may not know new information. RAG can search the latest data.<\/p>\n<p data-start=\"439\" data-end=\"450\">It can use:<\/p>\n<ul data-start=\"452\" data-end=\"501\">\n<li data-section-id=\"1lo4ep4\" data-start=\"452\" data-end=\"467\">New documents<\/li>\n<li data-section-id=\"114r946\" data-start=\"468\" data-end=\"482\">Latest files<\/li>\n<li data-section-id=\"n90oyd\" data-start=\"483\" data-end=\"501\">Updated websites<\/li>\n<\/ul>\n<p data-start=\"503\" data-end=\"529\">\ud83d\udc49 AI gives newer answers.<\/p>\n<h3 data-section-id=\"1s7nm9l\" data-start=\"531\" data-end=\"564\"><span role=\"text\"><strong data-start=\"535\" data-end=\"564\">Domain-Specific Knowledge<\/strong><\/span><\/h3>\n<p data-start=\"566\" data-end=\"606\">Every company has different information.<\/p>\n<p data-start=\"608\" data-end=\"620\">RAG can use:<\/p>\n<ul data-start=\"622\" data-end=\"685\">\n<li data-section-id=\"17iy9gz\" data-start=\"622\" data-end=\"641\">Company documents<\/li>\n<li data-section-id=\"123z688\" data-start=\"642\" data-end=\"657\">Project files<\/li>\n<li data-section-id=\"1mylak9\" data-start=\"658\" data-end=\"670\">API guides<\/li>\n<li data-section-id=\"7iv6kw\" data-start=\"671\" data-end=\"685\">User manuals<\/li>\n<\/ul>\n<p data-start=\"687\" data-end=\"729\">\ud83d\udc49 AI gives answers based on your project.<\/p>\n<h3 data-section-id=\"zx7x5y\" data-start=\"731\" data-end=\"765\"><span role=\"text\"><strong data-start=\"735\" data-end=\"765\">Improved Response Accuracy<\/strong><\/span><\/h3>\n<p data-start=\"767\" data-end=\"802\">RAG finds useful information first. Then AI creates the answer.<\/p>\n<p data-start=\"833\" data-end=\"851\">\ud83d\udc49 Answers become:<\/p>\n<ul data-start=\"853\" data-end=\"898\">\n<li data-section-id=\"1ax9gh7\" data-start=\"853\" data-end=\"868\">More accurate<\/li>\n<li data-section-id=\"fsbypt\" data-start=\"869\" data-end=\"882\">More useful<\/li>\n<li data-section-id=\"x1evut\" data-start=\"883\" data-end=\"898\">More reliable<\/li>\n<\/ul>\n<h3 data-section-id=\"1o18g2\" data-start=\"900\" data-end=\"941\"><span role=\"text\"><strong data-start=\"904\" data-end=\"941\">Better Enterprise AI Applications<\/strong><\/span><\/h3>\n<p data-start=\"943\" data-end=\"986\">Many companies use RAG in their AI systems.<\/p>\n<p data-start=\"988\" data-end=\"1007\">It helps employees:<\/p>\n<ul data-start=\"1009\" data-end=\"1082\">\n<li data-section-id=\"1hwnvc1\" data-start=\"1009\" data-end=\"1027\">Find information<\/li>\n<li data-section-id=\"cb4qjx\" data-start=\"1028\" data-end=\"1055\">Answer customer questions<\/li>\n<li data-section-id=\"1w047y5\" data-start=\"1056\" data-end=\"1082\">Search company documents<\/li>\n<\/ul>\n<p data-start=\"1084\" data-end=\"1107\">\ud83d\udc49 Work becomes faster.<\/p>\n<h3 data-section-id=\"1t33v4u\" data-start=\"1109\" data-end=\"1146\"><span role=\"text\"><strong data-start=\"1113\" data-end=\"1146\">Lower Retraining Requirements<\/strong><\/span><\/h3>\n<p data-start=\"1148\" data-end=\"1197\">You do not need to train the AI again every time. Just add new documents. RAG can use the new information.<\/p>\n<p data-start=\"1258\" data-end=\"1277\">\ud83d\udc49 This saves time.<\/p>\n<h3 data-section-id=\"1wc8cgg\" data-start=\"1279\" data-end=\"1316\"><span role=\"text\"><strong data-start=\"1283\" data-end=\"1316\">Scalable Knowledge Management<\/strong><\/span><\/h3>\n<p data-start=\"1318\" data-end=\"1366\">As your information grows, RAG can still use it.<\/p>\n<p data-start=\"1368\" data-end=\"1382\">It can search:<\/p>\n<ul data-start=\"1384\" data-end=\"1439\">\n<li data-section-id=\"1d9msux\" data-start=\"1384\" data-end=\"1404\">Thousands of files<\/li>\n<li data-section-id=\"j3eubz\" data-start=\"1405\" data-end=\"1421\">Many documents<\/li>\n<li data-section-id=\"nhrqcj\" data-start=\"1422\" data-end=\"1439\">Large databases<\/li>\n<\/ul>\n<p data-start=\"1441\" data-end=\"1482\">\ud83d\udc49 AI can easily handle more information.<\/p>\n<h3 data-section-id=\"1pdm8gi\" data-start=\"1484\" data-end=\"1509\"><span role=\"text\"><strong data-start=\"1488\" data-end=\"1509\">Why RAG Is Useful<\/strong><\/span><\/h3>\n<p data-start=\"1511\" data-end=\"1532\">RAG helps developers:<\/p>\n<ul data-start=\"1534\" data-end=\"1651\">\n<li data-section-id=\"dkg0m9\" data-start=\"1534\" data-end=\"1554\">Get better answers<\/li>\n<li data-section-id=\"11lhkkl\" data-start=\"1555\" data-end=\"1583\">Use the latest information<\/li>\n<li data-section-id=\"1rbndqc\" data-start=\"1584\" data-end=\"1606\">Reduce wrong answers<\/li>\n<li data-section-id=\"1kahw3i\" data-start=\"1607\" data-end=\"1620\">Work faster<\/li>\n<li data-section-id=\"zyub73\" data-start=\"1621\" data-end=\"1651\">Build better AI applications<\/li>\n<\/ul>\n<p data-start=\"1653\" data-end=\"1701\" data-is-last-node=\"\" data-is-only-node=\"\">\ud83d\udc49 That is why many developers choose RAG today.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Common_RAG_Architecture\"><\/span><strong>Common RAG Architecture<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"28\" data-end=\"69\">A RAG system works in a few simple steps. Each step helps AI give a better answer.<\/p>\n<p data-start=\"113\" data-end=\"144\">\ud83d\udc49 All the parts work together.<\/p>\n<h3 data-section-id=\"zgc4uj\" data-start=\"146\" data-end=\"182\"><span role=\"text\"><strong data-start=\"150\" data-end=\"182\">Step 1: User Asks a Question<\/strong><\/span><\/h3>\n<p data-start=\"184\" data-end=\"219\">The process starts with a question.<\/p>\n<p data-start=\"221\" data-end=\"233\">For example:<\/p>\n<ul data-start=\"235\" data-end=\"298\">\n<li data-section-id=\"33taab\" data-start=\"235\" data-end=\"252\">What is Python?<\/li>\n<li data-section-id=\"e1ourc\" data-start=\"253\" data-end=\"277\">How do I use this API?<\/li>\n<li data-section-id=\"juldsu\" data-start=\"278\" data-end=\"298\">Explain SQL joins.<\/li>\n<\/ul>\n<p data-start=\"300\" data-end=\"331\">\ud83d\udc49 AI first reads the question.<\/p>\n<h3 data-section-id=\"1uwrtev\" data-start=\"333\" data-end=\"377\"><span role=\"text\"><strong data-start=\"337\" data-end=\"377\">Step 2: RAG Searches for Information<\/strong><\/span><\/h3>\n<p data-start=\"379\" data-end=\"434\">RAG searches for information that matches the question.<\/p>\n<p data-start=\"436\" data-end=\"450\">It can search:<\/p>\n<ul data-start=\"452\" data-end=\"509\">\n<li data-section-id=\"1ccf784\" data-start=\"452\" data-end=\"463\">Documents<\/li>\n<li data-section-id=\"1j4apxl\" data-start=\"464\" data-end=\"470\">PDFs<\/li>\n<li data-section-id=\"174f0io\" data-start=\"471\" data-end=\"481\">Websites<\/li>\n<li data-section-id=\"lt2pga\" data-start=\"482\" data-end=\"497\">Company files<\/li>\n<li data-section-id=\"1w57mf2\" data-start=\"498\" data-end=\"509\">Databases<\/li>\n<\/ul>\n<p data-start=\"511\" data-end=\"548\">\ud83d\udc49 It looks for the best information.<\/p>\n<h3 data-section-id=\"674v81\" data-start=\"550\" data-end=\"594\"><span role=\"text\"><strong data-start=\"554\" data-end=\"594\">Step 3: RAG Collects the Information<\/strong><\/span><\/h3>\n<p data-start=\"596\" data-end=\"628\">RAG collects useful information. It does not collect everything. It only chooses the information related to the question.<\/p>\n<p data-start=\"721\" data-end=\"755\">\ud83d\udc49 This helps AI answer correctly.<\/p>\n<h3 data-section-id=\"1nigfd2\" data-start=\"757\" data-end=\"797\"><span role=\"text\"><strong data-start=\"761\" data-end=\"797\">Step 4: AI Reads the Information<\/strong><\/span><\/h3>\n<p data-start=\"799\" data-end=\"812\">Now AI reads:<\/p>\n<ul data-start=\"814\" data-end=\"866\">\n<li data-section-id=\"1hvda56\" data-start=\"814\" data-end=\"835\">The user&#8217;s question<\/li>\n<li data-section-id=\"1v5k7c4\" data-start=\"836\" data-end=\"866\">The information found by RAG<\/li>\n<\/ul>\n<p data-start=\"868\" data-end=\"906\">\ud83d\udc49 AI understands the question better.<\/p>\n<h3 data-section-id=\"1mjvn1d\" data-start=\"908\" data-end=\"945\"><span role=\"text\"><strong data-start=\"912\" data-end=\"945\">Step 5: AI Creates the Answer<\/strong><\/span><\/h3>\n<p data-start=\"947\" data-end=\"994\">After reading everything, AI writes the answer.<\/p>\n<p data-start=\"996\" data-end=\"1015\">The answer becomes:<\/p>\n<ul data-start=\"1017\" data-end=\"1068\">\n<li data-section-id=\"1m7812b\" data-start=\"1017\" data-end=\"1031\">More correct<\/li>\n<li data-section-id=\"fsbypt\" data-start=\"1032\" data-end=\"1045\">More useful<\/li>\n<li data-section-id=\"89wyf2\" data-start=\"1046\" data-end=\"1068\">Easier to understand<\/li>\n<\/ul>\n<p data-start=\"1070\" data-end=\"1101\">\ud83d\udc49 AI gives the final response.<\/p>\n<h3 data-section-id=\"nsb8m1\" data-start=\"1103\" data-end=\"1142\"><span role=\"text\"><strong data-start=\"1107\" data-end=\"1142\">How All the Parts Work Together<\/strong><\/span><\/h3>\n<p data-start=\"1144\" data-end=\"1171\">Each part has a simple job.<\/p>\n<ul data-start=\"1173\" data-end=\"1361\">\n<li data-section-id=\"9dv8iz\" data-start=\"1173\" data-end=\"1204\">The <strong data-start=\"1179\" data-end=\"1187\">user<\/strong> asks a question.<\/li>\n<li data-section-id=\"u2qibh\" data-start=\"1205\" data-end=\"1240\"><strong data-start=\"1207\" data-end=\"1214\">RAG<\/strong> searches for information.<\/li>\n<li data-section-id=\"mjz9sd\" data-start=\"1241\" data-end=\"1291\">The <strong data-start=\"1247\" data-end=\"1265\">knowledge base<\/strong> provides the information.<\/li>\n<li data-section-id=\"1q7tzqq\" data-start=\"1292\" data-end=\"1323\">The <strong data-start=\"1298\" data-end=\"1305\">LLM<\/strong> reads everything.<\/li>\n<li data-section-id=\"10q7zw5\" data-start=\"1324\" data-end=\"1361\">The <strong data-start=\"1330\" data-end=\"1337\">LLM<\/strong> gives the final answer.<\/li>\n<\/ul>\n<p data-start=\"1363\" data-end=\"1417\">\ud83d\udc49 All the parts work together to give better answers.<\/p>\n<h3 data-section-id=\"ggp395\" data-start=\"1419\" data-end=\"1454\"><span role=\"text\"><strong data-start=\"1423\" data-end=\"1454\">Why This Process Is Helpful<\/strong><\/span><\/h3>\n<p data-start=\"1456\" data-end=\"1478\">This process helps AI:<\/p>\n<ul data-start=\"1480\" data-end=\"1596\">\n<li data-section-id=\"mnrymw\" data-start=\"1480\" data-end=\"1508\">Find the right information<\/li>\n<li data-section-id=\"6ldqys\" data-start=\"1509\" data-end=\"1531\">Give correct answers<\/li>\n<li data-section-id=\"pqgrob\" data-start=\"1532\" data-end=\"1553\">Use new information<\/li>\n<li data-section-id=\"13324k7\" data-start=\"1554\" data-end=\"1571\">Reduce mistakes<\/li>\n<li data-section-id=\"1nvoaks\" data-start=\"1572\" data-end=\"1596\">Help developers better<\/li>\n<\/ul>\n<p data-start=\"1598\" data-end=\"1670\" data-is-last-node=\"\" data-is-only-node=\"\">\ud83d\udc49 This is how a RAG system works from the question to the final answer.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Real-World_Use_Cases\"><\/span><strong>Real-World Use Cases<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"qMYqUG_convSearchResultHighlightRoot\">\n<div class=\"\" data-turn-id-container=\"request-6a33cf95-1c38-83ee-8c13-45ddeacbad69-2\" data-is-intersecting=\"true\">\n<section class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a33cf95-1c38-83ee-8c13-45ddeacbad69-2\" data-turn-id-container=\"request-6a33cf95-1c38-83ee-8c13-45ddeacbad69-2\" data-testid=\"conversation-turn-1278\" data-turn=\"assistant\">\n<div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\">\n<div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" data-conversation-screenshot-content=\"\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"aed5685c-bbdf-4c64-8f89-5bbfbb07085b\" data-message-model-slug=\"gpt-5-5\" data-turn-start-message=\"true\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert wrap-break-word w-full dark markdown-new-styling\">\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"25\" data-end=\"58\">RAG is used in many places today.<\/p>\n<p data-start=\"60\" data-end=\"111\">\ud83d\udc49 It helps AI give better and more useful answers.<\/p>\n<h3 data-section-id=\"5z59id\" data-start=\"113\" data-end=\"140\"><span role=\"text\"><strong data-start=\"117\" data-end=\"140\">AI Customer Support<\/strong><\/span><\/h3>\n<p data-start=\"142\" data-end=\"178\">RAG helps answer customer questions.<\/p>\n<p data-start=\"180\" data-end=\"211\">\ud83d\udc49 Customers get quick answers.<\/p>\n<h3 data-section-id=\"zr8wcn\" data-start=\"213\" data-end=\"248\"><span role=\"text\"><strong data-start=\"217\" data-end=\"248\">Company Knowledge Assistant<\/strong><\/span><\/h3>\n<p data-start=\"250\" data-end=\"289\">Employees can search company documents.<\/p>\n<p data-start=\"291\" data-end=\"323\">\ud83d\udc49 They find information faster.<\/p>\n<h3 data-section-id=\"2af4br\" data-start=\"325\" data-end=\"348\"><span role=\"text\"><strong data-start=\"329\" data-end=\"348\">Document Search<\/strong><\/span><\/h3>\n<p data-start=\"350\" data-end=\"380\">RAG helps find information in:<\/p>\n<ul data-start=\"382\" data-end=\"406\">\n<li data-section-id=\"1j4apxl\" data-start=\"382\" data-end=\"388\">PDFs<\/li>\n<li data-section-id=\"jxwred\" data-start=\"389\" data-end=\"398\">Reports<\/li>\n<li data-section-id=\"170r3i5\" data-start=\"399\" data-end=\"406\">Files<\/li>\n<\/ul>\n<p data-start=\"408\" data-end=\"434\">\ud83d\udc49 Searching becomes easy.<\/p>\n<h3 data-section-id=\"k21dsp\" data-start=\"436\" data-end=\"459\"><span role=\"text\"><strong data-start=\"440\" data-end=\"459\">Legal Documents<\/strong><\/span><\/h3>\n<p data-start=\"461\" data-end=\"504\">Lawyers can search legal documents quickly.<\/p>\n<p data-start=\"506\" data-end=\"523\">\ud83d\udc49 It saves time.<\/p>\n<h3 data-section-id=\"rjodbj\" data-start=\"525\" data-end=\"543\"><span role=\"text\"><strong data-start=\"529\" data-end=\"543\">Healthcare<\/strong><\/span><\/h3>\n<p data-start=\"545\" data-end=\"584\">Doctors can search medical information.<\/p>\n<p data-start=\"586\" data-end=\"624\">\ud83d\udc49 They get useful information faster.<\/p>\n<h3 data-section-id=\"17v04ul\" data-start=\"626\" data-end=\"655\"><span role=\"text\"><strong data-start=\"630\" data-end=\"655\">Educational Platforms<\/strong><\/span><\/h3>\n<p data-start=\"657\" data-end=\"684\">Students can ask questions. RAG finds the correct study materials.<\/p>\n<p data-start=\"726\" data-end=\"753\">\ud83d\udc49 Learning becomes easier.<\/p>\n<h3 data-section-id=\"3ub1f0\" data-start=\"755\" data-end=\"778\"><span role=\"text\"><strong data-start=\"759\" data-end=\"778\">Code Assistants<\/strong><\/span><\/h3>\n<p data-start=\"780\" data-end=\"816\">Developers can ask coding questions. RAG searches coding documents before answering.<\/p>\n<p data-start=\"867\" data-end=\"904\">\ud83d\udc49 Developers get better coding help.<\/p>\n<h3 data-section-id=\"u5w4zr\" data-start=\"906\" data-end=\"933\"><span role=\"text\"><strong data-start=\"910\" data-end=\"933\">Enterprise Chatbots<\/strong><\/span><\/h3>\n<p data-start=\"935\" data-end=\"995\">Company chatbots can answer employee and customer questions.<\/p>\n<p data-start=\"997\" data-end=\"1029\">\ud83d\udc49 Answers become more accurate.<\/p>\n<h3 data-section-id=\"u7zooo\" data-start=\"1031\" data-end=\"1058\"><span role=\"text\"><strong data-start=\"1035\" data-end=\"1058\">Research Assistants<\/strong><\/span><\/h3>\n<p data-start=\"1060\" data-end=\"1106\">Researchers can search many documents quickly.<\/p>\n<p data-start=\"1108\" data-end=\"1153\" data-is-last-node=\"\" data-is-only-node=\"\">\ud83d\udc49 They find useful information in less time.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"Popular_Tools_and_Technologies\"><\/span><strong>Popular Tools and Technologies<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"35\" data-end=\"85\">Many tools help developers build RAG applications.<\/p>\n<p data-start=\"87\" data-end=\"121\">\ud83d\udc49 Each tool does a different job.<\/p>\n<h3 data-section-id=\"j2zsb3\" data-start=\"123\" data-end=\"140\"><span role=\"text\"><strong data-start=\"127\" data-end=\"140\">LangChain<\/strong><\/span><\/h3>\n<ul data-start=\"142\" data-end=\"196\">\n<li data-section-id=\"5jxwj2\" data-start=\"142\" data-end=\"173\">Connects AI with other tools.<\/li>\n<li data-section-id=\"xawc08\" data-start=\"174\" data-end=\"196\">Helps build AI apps.<\/li>\n<\/ul>\n<p data-start=\"198\" data-end=\"218\">\ud83d\udc49 Makes RAG easier.<\/p>\n<h3 data-section-id=\"my5anp\" data-start=\"220\" data-end=\"238\"><span role=\"text\"><strong data-start=\"224\" data-end=\"238\">LlamaIndex<\/strong><\/span><\/h3>\n<ul data-start=\"240\" data-end=\"298\">\n<li data-section-id=\"17ronwi\" data-start=\"240\" data-end=\"266\">Helps AI read documents.<\/li>\n<li data-section-id=\"maz08v\" data-start=\"267\" data-end=\"298\">Finds information from files.<\/li>\n<\/ul>\n<p data-start=\"300\" data-end=\"335\">\ud83d\udc49 AI understands documents better.<\/p>\n<h3 data-section-id=\"14ijker\" data-start=\"337\" data-end=\"353\"><span role=\"text\"><strong data-start=\"341\" data-end=\"353\">Pinecone<\/strong><\/span><\/h3>\n<ul data-start=\"355\" data-end=\"403\">\n<li data-section-id=\"t5jep2\" data-start=\"355\" data-end=\"376\">Stores information.<\/li>\n<li data-section-id=\"3trnxu\" data-start=\"377\" data-end=\"403\">Helps AI search quickly.<\/li>\n<\/ul>\n<p data-start=\"405\" data-end=\"429\">\ud83d\udc49 Finds the right data.<\/p>\n<h3 data-section-id=\"17othne\" data-start=\"431\" data-end=\"447\"><span role=\"text\"><strong data-start=\"435\" data-end=\"447\">Weaviate<\/strong><\/span><\/h3>\n<ul data-start=\"449\" data-end=\"494\">\n<li data-section-id=\"1txb8fu\" data-start=\"449\" data-end=\"463\">Stores data.<\/li>\n<li data-section-id=\"1id5cem\" data-start=\"464\" data-end=\"494\">Helps AI search information.<\/li>\n<\/ul>\n<p data-start=\"496\" data-end=\"520\">\ud83d\udc49 Gives better answers.<\/p>\n<h3 data-section-id=\"1g4a5z0\" data-start=\"522\" data-end=\"536\"><span role=\"text\"><strong data-start=\"526\" data-end=\"536\">Chroma<\/strong><\/span><\/h3>\n<ul data-start=\"538\" data-end=\"586\">\n<li data-section-id=\"jahcxi\" data-start=\"538\" data-end=\"557\">Stores documents.<\/li>\n<li data-section-id=\"1rmmerp\" data-start=\"558\" data-end=\"586\">Helps AI find information.<\/li>\n<\/ul>\n<p data-start=\"588\" data-end=\"603\">\ud83d\udc49 Easy to use.<\/p>\n<h3 data-section-id=\"cnmnns\" data-start=\"605\" data-end=\"618\"><span role=\"text\"><strong data-start=\"609\" data-end=\"618\">FAISS<\/strong><\/span><\/h3>\n<ul data-start=\"620\" data-end=\"653\">\n<li data-section-id=\"hkty6d\" data-start=\"620\" data-end=\"653\">Searches large amounts of data.<\/li>\n<\/ul>\n<p data-start=\"655\" data-end=\"681\">\ud83d\udc49 Makes searching faster.<\/p>\n<h3 data-section-id=\"elzef2\" data-start=\"683\" data-end=\"697\"><span role=\"text\"><strong data-start=\"687\" data-end=\"697\">Milvus<\/strong><\/span><\/h3>\n<ul data-start=\"699\" data-end=\"755\">\n<li data-section-id=\"1rfa3l7\" data-start=\"699\" data-end=\"728\">Stores lots of information.<\/li>\n<li data-section-id=\"3trnxu\" data-start=\"729\" data-end=\"755\">Helps AI search quickly.<\/li>\n<\/ul>\n<p data-start=\"757\" data-end=\"782\">\ud83d\udc49 Good for big projects.<\/p>\n<h3 data-section-id=\"1kxn2vl\" data-start=\"784\" data-end=\"803\"><span role=\"text\"><strong data-start=\"788\" data-end=\"803\">OpenAI APIs<\/strong><\/span><\/h3>\n<ul data-start=\"805\" data-end=\"870\">\n<li data-section-id=\"clcuot\" data-start=\"805\" data-end=\"840\">Let developers use OpenAI models.<\/li>\n<li data-section-id=\"1hxqx28\" data-start=\"841\" data-end=\"870\">Help build AI applications.<\/li>\n<\/ul>\n<p data-start=\"872\" data-end=\"890\">\ud83d\udc49 Easy to add AI.<\/p>\n<h3 data-section-id=\"6w6n2x\" data-start=\"892\" data-end=\"914\"><span role=\"text\"><strong data-start=\"896\" data-end=\"914\">Anthropic APIs<\/strong><\/span><\/h3>\n<ul data-start=\"916\" data-end=\"975\">\n<li data-section-id=\"lvl6xt\" data-start=\"916\" data-end=\"950\">Let developers use Anthropic AI.<\/li>\n<li data-section-id=\"nb8vli\" data-start=\"951\" data-end=\"975\">Help answer questions.<\/li>\n<\/ul>\n<p data-start=\"977\" data-end=\"999\">\ud83d\udc49 Useful for AI apps.<\/p>\n<h3 data-section-id=\"1d9e0lh\" data-start=\"1001\" data-end=\"1027\"><span role=\"text\"><strong data-start=\"1005\" data-end=\"1027\">Google Gemini APIs<\/strong><\/span><\/h3>\n<ul data-start=\"1029\" data-end=\"1092\">\n<li data-section-id=\"6z6ldo\" data-start=\"1029\" data-end=\"1060\">Let developers use Google AI.<\/li>\n<li data-section-id=\"15h8kxa\" data-start=\"1061\" data-end=\"1092\">Help with coding and writing.<\/li>\n<\/ul>\n<p data-start=\"1094\" data-end=\"1130\">\ud83d\udc49 Easy to build smart applications.<\/p>\n<h3 data-section-id=\"1wxluan\" data-start=\"1132\" data-end=\"1162\"><span role=\"text\"><strong data-start=\"1136\" data-end=\"1162\">Why These Tools Matter<\/strong><\/span><\/h3>\n<p data-start=\"1164\" data-end=\"1192\">These tools help developers:<\/p>\n<ul data-start=\"1194\" data-end=\"1271\">\n<li data-section-id=\"10di9fa\" data-start=\"1194\" data-end=\"1211\">Build RAG apps.<\/li>\n<li data-section-id=\"h3g8v8\" data-start=\"1212\" data-end=\"1233\">Search information.<\/li>\n<li data-section-id=\"18p1omf\" data-start=\"1234\" data-end=\"1258\">Get better AI answers.<\/li>\n<li data-section-id=\"zm9eb6\" data-start=\"1259\" data-end=\"1271\">Save time.<\/li>\n<\/ul>\n<p data-start=\"1273\" data-end=\"1329\" data-is-last-node=\"\" data-is-only-node=\"\">\ud83d\udc49 They make AI applications better and easier to build.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Best_Practices_for_Building_RAG_Applications\"><\/span><strong>Best Practices for Building RAG Applications<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"qMYqUG_convSearchResultHighlightRoot\">\n<div class=\"\" data-turn-id-container=\"aff27e01-c1e0-4160-94cc-0e562692c77c\" data-is-intersecting=\"true\">\n<section class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"aff27e01-c1e0-4160-94cc-0e562692c77c\" data-turn-id-container=\"aff27e01-c1e0-4160-94cc-0e562692c77c\" data-testid=\"conversation-turn-1286\" data-turn=\"assistant\">\n<div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\">\n<div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" data-conversation-screenshot-content=\"\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"aff27e01-c1e0-4160-94cc-0e562692c77c\" data-turn-start-message=\"true\" data-message-model-slug=\"gpt-5-5\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert wrap-break-word w-full dark markdown-new-styling\">\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"49\" data-end=\"91\">Good RAG applications give better answers.\u00a0Follow these simple tips.<\/p>\n<h3 data-section-id=\"1qbpwhq\" data-start=\"123\" data-end=\"155\"><span role=\"text\"><strong data-start=\"127\" data-end=\"155\">Chunk Documents Properly<\/strong><\/span><\/h3>\n<p data-start=\"157\" data-end=\"196\">Break large documents into small parts. This helps AI read them easily.<\/p>\n<p data-start=\"231\" data-end=\"266\">\ud83d\udc49 Small parts give better answers.<\/p>\n<h3 data-section-id=\"q9xeah\" data-start=\"268\" data-end=\"305\"><span role=\"text\"><strong data-start=\"272\" data-end=\"305\">Choose a Good Embedding Model<\/strong><\/span><\/h3>\n<p data-start=\"307\" data-end=\"334\">Use a good embedding model. It helps AI understand your question.<\/p>\n<p data-start=\"375\" data-end=\"416\">\ud83d\udc49 Better models find better information.<\/p>\n<h3 data-section-id=\"w2neeu\" data-start=\"418\" data-end=\"457\"><span role=\"text\"><strong data-start=\"422\" data-end=\"457\">Keep the Knowledge Base Updated<\/strong><\/span><\/h3>\n<p data-start=\"459\" data-end=\"487\">Add new documents regularly. Remove old information.<\/p>\n<p data-start=\"514\" data-end=\"540\">\ud83d\udc49 AI gives newer answers.<\/p>\n<h3 data-section-id=\"q6z91y\" data-start=\"542\" data-end=\"580\"><span role=\"text\"><strong data-start=\"546\" data-end=\"580\">Filter Unnecessary Information<\/strong><\/span><\/h3>\n<p data-start=\"582\" data-end=\"620\">Remove information that is not useful. Keep only important documents.<\/p>\n<p data-start=\"654\" data-end=\"690\">\ud83d\udc49 AI finds the right answer faster.<\/p>\n<h3 data-section-id=\"gsxxi3\" data-start=\"692\" data-end=\"726\"><span role=\"text\"><strong data-start=\"696\" data-end=\"726\">Use Clear Prompt Templates<\/strong><\/span><\/h3>\n<p data-start=\"728\" data-end=\"759\">Write simple and clear prompts. Tell AI exactly what you need.<\/p>\n<p data-start=\"793\" data-end=\"830\">\ud83d\udc49 Clear prompts give better answers.<\/p>\n<h3 data-section-id=\"1qekttg\" data-start=\"832\" data-end=\"860\"><span role=\"text\"><strong data-start=\"836\" data-end=\"860\">Check Search Results<\/strong><\/span><\/h3>\n<p data-start=\"862\" data-end=\"906\">Make sure RAG finds the correct information. If needed, improve the search.<\/p>\n<p data-start=\"940\" data-end=\"974\">\ud83d\udc49 Good search gives good answers.<\/p>\n<h3 data-section-id=\"1pwkaco\" data-start=\"976\" data-end=\"1010\"><span role=\"text\"><strong data-start=\"980\" data-end=\"1010\">Check AI Answers Regularly<\/strong><\/span><\/h3>\n<p data-start=\"1012\" data-end=\"1041\">Always read the AI&#8217;s answers. Check if they are correct. Fix mistakes if needed.<\/p>\n<p data-start=\"1096\" data-end=\"1146\" data-is-last-node=\"\" data-is-only-node=\"\">\ud83d\udc49 Regular checking improves your RAG application.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"Challenges_and_Limitations\"><\/span><strong>Challenges and Limitations<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"qMYqUG_convSearchResultHighlightRoot\">\n<div class=\"\" data-turn-id-container=\"request-6a33cf95-1c38-83ee-8c13-45ddeacbad69-0\" data-is-intersecting=\"true\">\n<section class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a33cf95-1c38-83ee-8c13-45ddeacbad69-0\" data-turn-id-container=\"request-6a33cf95-1c38-83ee-8c13-45ddeacbad69-0\" data-testid=\"conversation-turn-1288\" data-turn=\"assistant\">\n<div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\">\n<div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" data-conversation-screenshot-content=\"\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"a2f25563-2a14-437f-92f1-6e87ff488a6c\" data-message-model-slug=\"gpt-5-5\" data-turn-start-message=\"true\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert wrap-break-word w-full dark markdown-new-styling\">\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"31\" data-end=\"50\">RAG is very useful. But it also has some problems.<\/p>\n<p data-start=\"84\" data-end=\"123\">\ud83d\udc49 Developers should know these limits.<\/p>\n<h3 data-section-id=\"1jzsn4g\" data-start=\"125\" data-end=\"152\"><span role=\"text\"><strong data-start=\"129\" data-end=\"152\">Poor Search Results<\/strong><\/span><\/h3>\n<p data-start=\"154\" data-end=\"202\">Sometimes RAG cannot find the right information.<\/p>\n<p data-start=\"204\" data-end=\"236\">\ud83d\udc49 This can give a wrong answer.<\/p>\n<h3 data-section-id=\"1k8byss\" data-start=\"238\" data-end=\"270\"><span role=\"text\"><strong data-start=\"242\" data-end=\"270\">Wrong Document Splitting<\/strong><\/span><\/h3>\n<p data-start=\"272\" data-end=\"308\">If documents are not split properly, AI may miss important details.<\/p>\n<p data-start=\"342\" data-end=\"379\">\ud83d\udc49 Small and clear parts work better.<\/p>\n<h3 data-section-id=\"1qmt0fi\" data-start=\"381\" data-end=\"401\"><span role=\"text\"><strong data-start=\"385\" data-end=\"401\">Slow Answers<\/strong><\/span><\/h3>\n<p data-start=\"403\" data-end=\"433\">Sometimes RAG takes more time. It has to search before answering.<\/p>\n<p data-start=\"471\" data-end=\"496\">\ud83d\udc49 Answers may be slower.<\/p>\n<h3 data-section-id=\"1m4lr4k\" data-start=\"498\" data-end=\"517\"><span role=\"text\"><strong data-start=\"502\" data-end=\"517\">Higher Cost<\/strong><\/span><\/h3>\n<p data-start=\"519\" data-end=\"545\">Some RAG tools cost money. Large projects may cost more.<\/p>\n<p data-start=\"578\" data-end=\"615\">\ud83d\udc49 Choose tools that fit your budget.<\/p>\n<h3 data-section-id=\"1nfk2i5\" data-start=\"617\" data-end=\"640\"><span role=\"text\"><strong data-start=\"621\" data-end=\"640\">Limited Context<\/strong><\/span><\/h3>\n<p data-start=\"642\" data-end=\"680\">AI cannot read everything at one time. It can only read a limited amount of information.<\/p>\n<p data-start=\"733\" data-end=\"765\">\ud83d\udc49 Very large files may not fit.<\/p>\n<h3 data-section-id=\"o64e7k\" data-start=\"767\" data-end=\"783\"><span role=\"text\"><strong data-start=\"771\" data-end=\"783\">Security<\/strong><\/span><\/h3>\n<p data-start=\"785\" data-end=\"812\">Keep your information safe. Do not allow everyone to access private files.<\/p>\n<p data-start=\"862\" data-end=\"883\">\ud83d\udc49 Protect your data.<\/p>\n<h3 data-section-id=\"1f6q5kg\" data-start=\"885\" data-end=\"905\"><span role=\"text\"><strong data-start=\"889\" data-end=\"905\">Data Privacy<\/strong><\/span><\/h3>\n<p data-start=\"907\" data-end=\"920\">Do not share:<\/p>\n<ul data-start=\"922\" data-end=\"971\">\n<li data-section-id=\"do785g\" data-start=\"922\" data-end=\"933\">Passwords<\/li>\n<li data-section-id=\"1x97bfe\" data-start=\"934\" data-end=\"947\">Secret keys<\/li>\n<li data-section-id=\"17nzh3r\" data-start=\"948\" data-end=\"971\">Private company files<\/li>\n<\/ul>\n<p data-start=\"973\" data-end=\"1007\">\ud83d\udc49 Keep personal information safe.<\/p>\n<h3 data-section-id=\"7fam9\" data-start=\"1009\" data-end=\"1036\"><span role=\"text\"><strong data-start=\"1013\" data-end=\"1036\">Regular Maintenance<\/strong><\/span><\/h3>\n<p data-start=\"1038\" data-end=\"1066\">Keep your documents updated. Remove old files. Add new information.<\/p>\n<p data-start=\"1109\" data-end=\"1146\" data-is-last-node=\"\" data-is-only-node=\"\">\ud83d\udc49 This helps AI give better answers.<\/p>\n<p data-start=\"1109\" data-end=\"1146\" data-is-last-node=\"\" data-is-only-node=\"\"><a href=\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation.webp\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-25653530\" src=\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation.webp\" alt=\"What Is RAG (Retrieval-Augmented Generation)\" width=\"628\" height=\"492\" srcset=\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation.webp 2000w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-300x235.webp 300w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-1024x802.webp 1024w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-768x601.webp 768w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-1536x1203.webp 1536w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-150x117.webp 150w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-750x587.webp 750w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-1140x893.webp 1140w\" sizes=\"auto, (max-width: 628px) 100vw, 628px\" \/><\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"RAG_vs_Fine-Tuning\"><\/span><strong>RAG vs Fine-Tuning<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"23\" data-end=\"56\">RAG and Fine-Tuning both help AI. But they work in different ways. Choose the one that matches your work.<\/p>\n<div class=\"TyagGW_tableContainer\">\n<div class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\">\n<table class=\"w-fit min-w-(--thread-content-width)\" data-start=\"135\" data-end=\"566\">\n<thead data-start=\"135\" data-end=\"178\">\n<tr data-start=\"135\" data-end=\"178\">\n<th class=\"last:pe-10\" data-start=\"135\" data-end=\"149\" data-col-size=\"sm\"><strong data-start=\"137\" data-end=\"148\">Feature<\/strong><\/th>\n<th class=\"last:pe-10\" data-start=\"149\" data-end=\"159\" data-col-size=\"sm\"><strong data-start=\"151\" data-end=\"158\">RAG<\/strong><\/th>\n<th class=\"last:pe-10\" data-start=\"159\" data-end=\"178\" data-col-size=\"sm\"><strong data-start=\"161\" data-end=\"176\">Fine-Tuning<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"223\" data-end=\"566\">\n<tr data-start=\"223\" data-end=\"302\">\n<td data-start=\"223\" data-end=\"237\" data-col-size=\"sm\"><strong data-start=\"225\" data-end=\"236\">Purpose<\/strong><\/td>\n<td data-start=\"237\" data-end=\"275\" data-col-size=\"sm\">Finds information before answering.<\/td>\n<td data-start=\"275\" data-end=\"302\" data-col-size=\"sm\">Teaches AI a new skill.<\/td>\n<\/tr>\n<tr data-start=\"303\" data-end=\"344\">\n<td data-start=\"303\" data-end=\"314\" data-col-size=\"sm\"><strong data-start=\"305\" data-end=\"313\">Cost<\/strong><\/td>\n<td data-start=\"314\" data-end=\"328\" data-col-size=\"sm\">Lower cost.<\/td>\n<td data-start=\"328\" data-end=\"344\" data-col-size=\"sm\">Higher cost.<\/td>\n<\/tr>\n<tr data-start=\"345\" data-end=\"417\">\n<td data-start=\"345\" data-end=\"367\" data-col-size=\"sm\"><strong data-start=\"347\" data-end=\"366\">New Information<\/strong><\/td>\n<td data-start=\"367\" data-end=\"392\" data-col-size=\"sm\">Easy to add new files.<\/td>\n<td data-start=\"392\" data-end=\"417\" data-col-size=\"sm\">Needs training again.<\/td>\n<\/tr>\n<tr data-start=\"418\" data-end=\"453\">\n<td data-start=\"418\" data-end=\"439\" data-col-size=\"sm\"><strong data-start=\"420\" data-end=\"438\">Easy to Change<\/strong><\/td>\n<td data-start=\"439\" data-end=\"446\" data-col-size=\"sm\">Yes.<\/td>\n<td data-start=\"446\" data-end=\"453\" data-col-size=\"sm\">No.<\/td>\n<\/tr>\n<tr data-start=\"454\" data-end=\"494\">\n<td data-start=\"454\" data-end=\"472\" data-col-size=\"sm\"><strong data-start=\"456\" data-end=\"471\">Maintenance<\/strong><\/td>\n<td data-start=\"472\" data-end=\"480\" data-col-size=\"sm\">Easy.<\/td>\n<td data-start=\"480\" data-end=\"494\" data-col-size=\"sm\">More work.<\/td>\n<\/tr>\n<tr data-start=\"495\" data-end=\"566\">\n<td data-start=\"495\" data-end=\"510\" data-col-size=\"sm\"><strong data-start=\"497\" data-end=\"509\">Best For<\/strong><\/td>\n<td data-start=\"510\" data-end=\"545\" data-col-size=\"sm\">Search, chatbots, company files.<\/td>\n<td data-start=\"545\" data-end=\"566\" data-col-size=\"sm\">Special AI tasks.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"Future_of_Retrieval-Augmented_Generation\"><\/span><strong>Future of Retrieval-Augmented Generation<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"45\" data-end=\"82\">RAG will become better in the future.<\/p>\n<p data-start=\"84\" data-end=\"123\">\ud83d\udc49 It will help AI give better answers.<\/p>\n<h3 data-section-id=\"bex0l9\" data-start=\"125\" data-end=\"143\"><span role=\"text\"><strong data-start=\"129\" data-end=\"143\">Agentic AI<\/strong><\/span><\/h3>\n<p data-start=\"145\" data-end=\"176\">AI will do more work by itself.<\/p>\n<p data-start=\"178\" data-end=\"185\">It can:<\/p>\n<ul data-start=\"187\" data-end=\"242\">\n<li data-section-id=\"1hwnvc1\" data-start=\"187\" data-end=\"205\">Find information<\/li>\n<li data-section-id=\"1rk8n9l\" data-start=\"206\" data-end=\"224\">Answer questions<\/li>\n<li data-section-id=\"1kcmwb7\" data-start=\"225\" data-end=\"242\">Do simple tasks<\/li>\n<\/ul>\n<p data-start=\"244\" data-end=\"266\">\ud83d\udc49 AI becomes smarter.<\/p>\n<h3 data-section-id=\"1p2yctg\" data-start=\"268\" data-end=\"289\"><span role=\"text\"><strong data-start=\"272\" data-end=\"289\">Hybrid Search<\/strong><\/span><\/h3>\n<p data-start=\"291\" data-end=\"328\">AI will use different ways to search.<\/p>\n<p data-start=\"330\" data-end=\"361\">\ud83d\udc49 It finds better information.<\/p>\n<h3 data-section-id=\"sq049q\" data-start=\"363\" data-end=\"380\"><span role=\"text\"><strong data-start=\"367\" data-end=\"380\">Graph RAG<\/strong><\/span><\/h3>\n<p data-start=\"382\" data-end=\"429\">Graph RAG helps AI connect related information.<\/p>\n<p data-start=\"431\" data-end=\"463\">\ud83d\udc49 AI understands topics better.<\/p>\n<h3 data-section-id=\"1u1q3ao\" data-start=\"465\" data-end=\"487\"><span role=\"text\"><strong data-start=\"469\" data-end=\"487\">Multimodal RAG<\/strong><\/span><\/h3>\n<p data-start=\"489\" data-end=\"526\">RAG will use different types of data.<\/p>\n<p data-start=\"528\" data-end=\"539\">It can use:<\/p>\n<ul data-start=\"541\" data-end=\"573\">\n<li data-section-id=\"1j4cumt\" data-start=\"541\" data-end=\"547\">Text<\/li>\n<li data-section-id=\"1r7vxks\" data-start=\"548\" data-end=\"556\">Images<\/li>\n<li data-section-id=\"9f7v1m\" data-start=\"557\" data-end=\"565\">Videos<\/li>\n<li data-section-id=\"16z26wu\" data-start=\"566\" data-end=\"573\">Audio<\/li>\n<\/ul>\n<p data-start=\"575\" data-end=\"610\">\ud83d\udc49 AI learns from more information.<\/p>\n<h3 data-section-id=\"ad6hmq\" data-start=\"612\" data-end=\"639\"><span role=\"text\"><strong data-start=\"616\" data-end=\"639\">Personalized Search<\/strong><\/span><\/h3>\n<p data-start=\"641\" data-end=\"680\">AI can give answers based on each user.<\/p>\n<p data-start=\"682\" data-end=\"700\">It can understand:<\/p>\n<ul data-start=\"702\" data-end=\"741\">\n<li data-section-id=\"vpc16g\" data-start=\"702\" data-end=\"713\">Your work<\/li>\n<li data-section-id=\"rkykx8\" data-start=\"714\" data-end=\"728\">Your project<\/li>\n<li data-section-id=\"1fxlmsg\" data-start=\"729\" data-end=\"741\">Your needs<\/li>\n<\/ul>\n<p data-start=\"743\" data-end=\"773\">\ud83d\udc49 Answers become more useful.<\/p>\n<h3 data-section-id=\"oxy8nv\" data-start=\"775\" data-end=\"810\"><span role=\"text\"><strong data-start=\"779\" data-end=\"810\">More Companies Will Use RAG<\/strong><\/span><\/h3>\n<p data-start=\"812\" data-end=\"840\">More companies will use RAG.<\/p>\n<p data-start=\"842\" data-end=\"859\">It can help with:<\/p>\n<ul data-start=\"861\" data-end=\"922\">\n<li data-section-id=\"ru1wtf\" data-start=\"861\" data-end=\"879\">Customer support<\/li>\n<li data-section-id=\"lt2pga\" data-start=\"880\" data-end=\"895\">Company files<\/li>\n<li data-section-id=\"1yxiluk\" data-start=\"896\" data-end=\"906\">Chatbots<\/li>\n<li data-section-id=\"1mfc3kr\" data-start=\"907\" data-end=\"922\">Employee help<\/li>\n<\/ul>\n<p data-start=\"924\" data-end=\"947\">\ud83d\udc49 Work becomes faster.<\/p>\n<p style=\"text-align: center\" data-start=\"924\" data-end=\"947\"><strong><a class=\"in-cell-link\" href=\"https:\/\/entri.app\/course\/full-stack-developer-course\/?utm_source=coding&amp;utm_medium=blog_referral&amp;utm_campaign=prompt-engineering-for-developers-practical-guide\" target=\"_blank\" rel=\"noopener\">Experience the power of our web development course with a free demo \u2013 Enroll now!<\/a><\/strong><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span><strong>Conclusion<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p data-start=\"15\" data-end=\"48\">RAG helps AI give better answers. It finds the right information before answering. This helps AI make fewer mistakes.<\/p>\n<p data-start=\"139\" data-end=\"169\">Many developers use RAG today. It helps build better AI applications and saves time. Learning RAG is a useful skill for every developer.<\/p>\n<table class=\"table\">\n<tbody>\n<tr>\n<td colspan=\"2\"><strong>Related Links<\/strong><\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/entri.app\/blog\/ai-coding-tools-for-full-stack-developers\/\" target=\"_blank\" rel=\"noopener\"><strong>AI Coding Tools for Full Stack Developers: 2026 Overview<\/strong><\/a><\/td>\n<td>\n<p class=\"jeg_post_title\"><a href=\"https:\/\/entri.app\/blog\/prompt-engineering-for-developers-practical-guide\/\" target=\"_blank\" rel=\"noopener\"><strong>Prompt Engineering for Developers: A Practical Guide<\/strong><\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>Key Takeaways RAG helps AI find information. RAG gives better answers. RAG helps reduce mistakes. RAG is useful for developers. RAG helps build better AI apps. Introduction Artificial Intelligence (AI) helps many developers today. It makes coding easier and faster. AI can help you: Write code Fix errors Explain code Answer coding questions \ud83d\udc49 Many [&hellip;]<\/p>\n","protected":false},"author":100,"featured_media":25653370,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[802,1903],"tags":[],"class_list":["post-25653368","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles","category-coding"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What Is RAG (Retrieval-Augmented Generation)? Explained for Developers - Entri Blog<\/title>\n<meta name=\"description\" content=\"Understand Retrieval-Augmented Generation (RAG) in simple words with easy examples, features, and developer-friendly explanations.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What Is RAG (Retrieval-Augmented Generation)? Explained for Developers - Entri Blog\" \/>\n<meta property=\"og:description\" content=\"Understand Retrieval-Augmented Generation (RAG) in simple words with easy examples, features, and developer-friendly explanations.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/\" \/>\n<meta property=\"og:site_name\" content=\"Entri Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/entri.me\/\" \/>\n<meta property=\"article:published_time\" content=\"2026-07-14T04:50:37+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-14T04:58:39+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-Explained-for-Developers.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"820\" \/>\n\t<meta property=\"og:image:height\" content=\"615\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Sabira Ulfath\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@entri_app\" \/>\n<meta name=\"twitter:site\" content=\"@entri_app\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sabira Ulfath\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"11 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/\"},\"author\":{\"name\":\"Sabira Ulfath\",\"@id\":\"https:\/\/entri.app\/blog\/#\/schema\/person\/c79ea15b3ee5dab855ebea929c9a6046\"},\"headline\":\"What Is RAG (Retrieval-Augmented Generation)? Explained for Developers\",\"datePublished\":\"2026-07-14T04:50:37+00:00\",\"dateModified\":\"2026-07-14T04:58:39+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/\"},\"wordCount\":2287,\"publisher\":{\"@id\":\"https:\/\/entri.app\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-Explained-for-Developers.webp\",\"articleSection\":[\"Articles\",\"Coding\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/\",\"url\":\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/\",\"name\":\"What Is RAG (Retrieval-Augmented Generation)? Explained for Developers - Entri Blog\",\"isPartOf\":{\"@id\":\"https:\/\/entri.app\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-Explained-for-Developers.webp\",\"datePublished\":\"2026-07-14T04:50:37+00:00\",\"dateModified\":\"2026-07-14T04:58:39+00:00\",\"description\":\"Understand Retrieval-Augmented Generation (RAG) in simple words with easy examples, features, and developer-friendly explanations.\",\"breadcrumb\":{\"@id\":\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#primaryimage\",\"url\":\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-Explained-for-Developers.webp\",\"contentUrl\":\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-Explained-for-Developers.webp\",\"width\":820,\"height\":615,\"caption\":\"What Is RAG (Retrieval-Augmented Generation) Explained for Developers\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/entri.app\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Coding\",\"item\":\"https:\/\/entri.app\/blog\/category\/coding\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"What Is RAG (Retrieval-Augmented Generation)? Explained for Developers\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/entri.app\/blog\/#website\",\"url\":\"https:\/\/entri.app\/blog\/\",\"name\":\"Entri Blog\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/entri.app\/blog\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/entri.app\/blog\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/entri.app\/blog\/#organization\",\"name\":\"Entri App\",\"url\":\"https:\/\/entri.app\/blog\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/entri.app\/blog\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2019\/10\/Entri-Logo-1.png\",\"contentUrl\":\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2019\/10\/Entri-Logo-1.png\",\"width\":989,\"height\":446,\"caption\":\"Entri App\"},\"image\":{\"@id\":\"https:\/\/entri.app\/blog\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/entri.me\/\",\"https:\/\/x.com\/entri_app\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/entri.app\/blog\/#\/schema\/person\/c79ea15b3ee5dab855ebea929c9a6046\",\"name\":\"Sabira Ulfath\",\"url\":\"https:\/\/entri.app\/blog\/author\/sabira\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"What Is RAG (Retrieval-Augmented Generation)? Explained for Developers - Entri Blog","description":"Understand Retrieval-Augmented Generation (RAG) in simple words with easy examples, features, and developer-friendly explanations.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/","og_locale":"en_US","og_type":"article","og_title":"What Is RAG (Retrieval-Augmented Generation)? Explained for Developers - Entri Blog","og_description":"Understand Retrieval-Augmented Generation (RAG) in simple words with easy examples, features, and developer-friendly explanations.","og_url":"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/","og_site_name":"Entri Blog","article_publisher":"https:\/\/www.facebook.com\/entri.me\/","article_published_time":"2026-07-14T04:50:37+00:00","article_modified_time":"2026-07-14T04:58:39+00:00","og_image":[{"width":820,"height":615,"url":"https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-Explained-for-Developers.webp","type":"image\/webp"}],"author":"Sabira Ulfath","twitter_card":"summary_large_image","twitter_creator":"@entri_app","twitter_site":"@entri_app","twitter_misc":{"Written by":"Sabira Ulfath","Est. reading time":"11 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#article","isPartOf":{"@id":"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/"},"author":{"name":"Sabira Ulfath","@id":"https:\/\/entri.app\/blog\/#\/schema\/person\/c79ea15b3ee5dab855ebea929c9a6046"},"headline":"What Is RAG (Retrieval-Augmented Generation)? Explained for Developers","datePublished":"2026-07-14T04:50:37+00:00","dateModified":"2026-07-14T04:58:39+00:00","mainEntityOfPage":{"@id":"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/"},"wordCount":2287,"publisher":{"@id":"https:\/\/entri.app\/blog\/#organization"},"image":{"@id":"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#primaryimage"},"thumbnailUrl":"https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-Explained-for-Developers.webp","articleSection":["Articles","Coding"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/","url":"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/","name":"What Is RAG (Retrieval-Augmented Generation)? Explained for Developers - Entri Blog","isPartOf":{"@id":"https:\/\/entri.app\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#primaryimage"},"image":{"@id":"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#primaryimage"},"thumbnailUrl":"https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-Explained-for-Developers.webp","datePublished":"2026-07-14T04:50:37+00:00","dateModified":"2026-07-14T04:58:39+00:00","description":"Understand Retrieval-Augmented Generation (RAG) in simple words with easy examples, features, and developer-friendly explanations.","breadcrumb":{"@id":"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#primaryimage","url":"https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-Explained-for-Developers.webp","contentUrl":"https:\/\/entri.app\/blog\/wp-content\/uploads\/2026\/07\/What-Is-RAG-Retrieval-Augmented-Generation-Explained-for-Developers.webp","width":820,"height":615,"caption":"What Is RAG (Retrieval-Augmented Generation) Explained for Developers"},{"@type":"BreadcrumbList","@id":"https:\/\/entri.app\/blog\/what-is-rag-retrieval-augmented-generation\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/entri.app\/blog\/"},{"@type":"ListItem","position":2,"name":"Coding","item":"https:\/\/entri.app\/blog\/category\/coding\/"},{"@type":"ListItem","position":3,"name":"What Is RAG (Retrieval-Augmented Generation)? Explained for Developers"}]},{"@type":"WebSite","@id":"https:\/\/entri.app\/blog\/#website","url":"https:\/\/entri.app\/blog\/","name":"Entri Blog","description":"","publisher":{"@id":"https:\/\/entri.app\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/entri.app\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/entri.app\/blog\/#organization","name":"Entri App","url":"https:\/\/entri.app\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/entri.app\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/entri.app\/blog\/wp-content\/uploads\/2019\/10\/Entri-Logo-1.png","contentUrl":"https:\/\/entri.app\/blog\/wp-content\/uploads\/2019\/10\/Entri-Logo-1.png","width":989,"height":446,"caption":"Entri App"},"image":{"@id":"https:\/\/entri.app\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/entri.me\/","https:\/\/x.com\/entri_app"]},{"@type":"Person","@id":"https:\/\/entri.app\/blog\/#\/schema\/person\/c79ea15b3ee5dab855ebea929c9a6046","name":"Sabira Ulfath","url":"https:\/\/entri.app\/blog\/author\/sabira\/"}]}},"_links":{"self":[{"href":"https:\/\/entri.app\/blog\/wp-json\/wp\/v2\/posts\/25653368","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/entri.app\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/entri.app\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/entri.app\/blog\/wp-json\/wp\/v2\/users\/100"}],"replies":[{"embeddable":true,"href":"https:\/\/entri.app\/blog\/wp-json\/wp\/v2\/comments?post=25653368"}],"version-history":[{"count":6,"href":"https:\/\/entri.app\/blog\/wp-json\/wp\/v2\/posts\/25653368\/revisions"}],"predecessor-version":[{"id":25653531,"href":"https:\/\/entri.app\/blog\/wp-json\/wp\/v2\/posts\/25653368\/revisions\/25653531"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/entri.app\/blog\/wp-json\/wp\/v2\/media\/25653370"}],"wp:attachment":[{"href":"https:\/\/entri.app\/blog\/wp-json\/wp\/v2\/media?parent=25653368"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/entri.app\/blog\/wp-json\/wp\/v2\/categories?post=25653368"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/entri.app\/blog\/wp-json\/wp\/v2\/tags?post=25653368"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}