[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-retrieval-augmented-generation":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"1bf4a938-6e0f-41c7-b023-5cd5b440a36d","retrieval-augmented generation","retrieval-augmented-generation",2,null,[11,20,28,35,42,49],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"f3314ef2-fbe1-4003-8b22-fddee9711824","why-agentic-rag-beats-static-rag-real-work-en","Why Agentic RAG Is Better Than Static RAG for Real Work","Agentic RAG beats static RAG for complex, multi-step questions, but it costs more and needs tighter controls.","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778527240890-yt4s.png","en","2026-05-11T19:20:20.900774+00:00",{"id":21,"slug":22,"title":23,"summary":24,"category":25,"image_url":26,"cover_image":26,"language":18,"created_at":27},"f2612ba2-997c-4d94-b83b-f0a52f1adb32","how-to-build-agentic-rag-with-langgraph-en","How to Build Agentic RAG with LangGraph","Build an agentic RAG workflow that routes, retrieves, validates, and answers queries.","ai-agent","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778120449011-mfth.png","2026-05-07T02:20:30.085666+00:00",{"id":29,"slug":30,"title":31,"summary":32,"category":16,"image_url":33,"cover_image":33,"language":18,"created_at":34},"fcba2ffc-9687-40b6-b58c-a36dc8b4926b","retrieval-augmented-generation-explained-en","Retrieval-Augmented Generation, Explained Simply","RAG lets large language models pull fresh facts from documents before answering, which cuts hallucinations and adds citations.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778083860476-4o28.png","2026-05-06T16:10:34.177377+00:00",{"id":36,"slug":37,"title":38,"summary":39,"category":16,"image_url":40,"cover_image":40,"language":18,"created_at":41},"babe87a3-4942-4e09-9e59-1911b2bee687","healthnlp-retrievers-cascaded-ehr-qa-pipeline-en","HealthNLP_Retrievers’ cascaded QA pipeline for EHRs","A grounded clinical QA pipeline for EHRs that uses cascaded LLM retrieval and answer generation, but the abstract gives no benchmark numbers.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778052056726-7799.png","2026-05-06T07:20:32.125923+00:00",{"id":43,"slug":44,"title":45,"summary":46,"category":16,"image_url":9,"cover_image":47,"language":18,"created_at":48},"2bc1ad7f-26ce-4f02-9885-803b35fd229d","training-knowledge-bases-writeback-rag-en","Training Knowledge Bases with WriteBack-RAG","Learn how WriteBack-RAG enhances knowledge bases in RAG systems by refining and indexing relevant data for improved retrieval performance.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774497110328-9msg.png","2026-03-28T14:54:45.643433+00:00",{"id":50,"slug":51,"title":52,"summary":53,"category":54,"image_url":55,"cover_image":55,"language":18,"created_at":56},"bf36bb9e-3444-4fb8-ab19-0df6bc9d8271","rag-2026-indispensable-ai-bridge-en","RAG in 2026: The Indispensable AI Bridge","In 2026, advanced Retrieval Augmented Generation (RAG) systems are essential for bridging large language models with enterprise knowledge, ensuring informed AI outputs.","model-release","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774499161803-x9u7.png","2026-03-26T01:28:34.472046+00:00"]