[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-qdrant":3},{"tag":4,"articles":10,"peer_article_count":78},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"9239f5c9-c627-4be7-ad02-2b9276750496","Qdrant","qdrant",2,null,[11,20,28,36,43,50,57,64,71],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"6b0f7a67-846a-4c6a-8dd0-b0c577ddb42e","top-10-ai-vector-databases-for-2026-compared-en","Top 10 AI Vector Databases for 2026 Compared","A 2026 comparison of the top vector databases for production RAG, search, and agent workloads.","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782649102372-281k.png","en","2026-06-28T12:17:57.654781+00:00",{"id":21,"slug":22,"title":23,"summary":24,"category":25,"image_url":26,"cover_image":26,"language":18,"created_at":27},"c9718bed-9db2-4e04-88d4-9316d047680d","build-agentic-rag-system-langgraph-en","Build an Agentic RAG system with LangGraph","A modular LangGraph repo for building and learning Agentic RAG end to end.","ai-agent","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781485375801-5h1u.png","2026-06-15T01:02:29.81896+00:00",{"id":29,"slug":30,"title":31,"summary":32,"category":33,"image_url":34,"cover_image":34,"language":18,"created_at":35},"fb2600b9-89a3-493e-9d04-cd7823ac10cc","github-rag-production-list-battle-tested-tools-en","49 stars for GitHub’s RAG production list","Yigtwxx’s GitHub repo maps production RAG stacks, from LangGraph and Qdrant to Milvus, with benchmarks, pitfalls, and case studies.","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780870666109-xv1v.png","2026-06-07T22:17:20.678948+00:00",{"id":37,"slug":38,"title":39,"summary":40,"category":33,"image_url":41,"cover_image":41,"language":18,"created_at":42},"d1e26605-8b72-4be1-833e-c57583968f37","qdrant-filter-first-rag-design-decoded-en","Qdrant’s filter-first RAG design, decoded","I break down Raunaq’s vector DB comparison and turn the filter-first lesson into a copyable RAG schema.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780566507204-rtv6.png","2026-06-04T09:48:00.130764+00:00",{"id":44,"slug":45,"title":46,"summary":47,"category":16,"image_url":48,"cover_image":48,"language":18,"created_at":49},"034b5552-6ad2-4a5f-960c-870f30d7be22","5-turboquant-lessons-for-vector-search-teams-en","5 TurboQuant lessons for vector search teams","5 takeaways on Qdrant TurboQuant: how rotation changes compression, where recall holds up, and when safer quantizers fit better.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780157892244-w7me.png","2026-05-30T16:17:39.721708+00:00",{"id":51,"slug":52,"title":53,"summary":54,"category":33,"image_url":55,"cover_image":55,"language":18,"created_at":56},"f09da191-b400-4c15-95fb-2bb1252f2c0a","qdrant-vector-database-ai-search-en","Qdrant adds vector search for AI apps","Qdrant is a Rust-based vector database for semantic search, hybrid retrieval, and AI apps, with cloud, edge, and agent tools.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779512154538-xs14.png","2026-05-23T04:55:33.114533+00:00",{"id":58,"slug":59,"title":60,"summary":61,"category":33,"image_url":62,"cover_image":62,"language":18,"created_at":63},"3273659b-565b-424a-93b2-dad4665c3d24","how-to-choose-a-vector-database-in-2026-en","How to Choose a Vector Database in 2026","A practical guide to selecting a 2026 vector database by scale, pricing, and architecture.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778972631041-fqct.png","2026-05-16T23:03:30.964457+00:00",{"id":65,"slug":66,"title":67,"summary":68,"category":16,"image_url":69,"cover_image":69,"language":18,"created_at":70},"27649bb1-3817-4b2a-9377-c06b094ab364","why-qdrant-vector-search-gains-matter-en","Why Qdrant’s vector search gains matter more than raw speed","Qdrant’s new GPU indexing, multi-AZ clusters, and audit logs make enterprise vector search more production-ready.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777859496274-fot9.png","2026-05-04T01:51:20.935212+00:00",{"id":72,"slug":73,"title":74,"summary":75,"category":33,"image_url":76,"cover_image":76,"language":18,"created_at":77},"e8390502-7cb7-4bfa-878c-0d2685a39c2a","qdrant-milvus-weaviate-rag-2026-comparison-en","Qdrant vs Milvus vs Weaviate for RAG in 2026","Qdrant, Milvus, and Weaviate power different RAG needs in 2026. Here’s how they compare on latency, scale, hybrid search, and cost.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776126293632-1zod.png","2026-04-14T00:24:39.888894+00:00",8]