[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-qdrant":3},{"tag":4,"articles":10,"peer_article_count":71},{"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],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"304a413f-48b5-4e03-ae02-805b048d6023","2026-xiang-liang-zi-liao-ku-dui-bi-10-kuan-zen-me-xuan-zh","2026 向量資料庫對比：10 款怎麼選","這篇比較 Pinecone、Weaviate、Qdrant、Milvus、pgvector、Vespa、Redis、Elasticsearch 與 LanceDB，幫你依照成本、規模、延遲與維運難度選出適合 2026 的向量資料庫。","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782649107089-ppzf.png","zh","2026-06-28T12:17:57.21576+00:00",{"id":21,"slug":22,"title":23,"summary":24,"category":25,"image_url":26,"cover_image":26,"language":18,"created_at":27},"45c6e678-8ac7-4881-8096-34703d7db136","yong-langgraph-zuo-chu-dai-li-shi-rag-xi-tong-zh","用 LangGraph 做出代理式 RAG 系統","這篇操作指南帶你把基本檢索應用升級成代理式 RAG，完成 PDF 轉檔、向量索引、LangGraph 工作流與可切換模型的問答系統。","ai-agent","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781485382723-k7xk.png","2026-06-15T01:02:29.343467+00:00",{"id":29,"slug":30,"title":31,"summary":32,"category":33,"image_url":34,"cover_image":34,"language":18,"created_at":35},"3ead09ec-5656-4165-9bb0-f602add3c409","qdrant-filter-first-rag-design-decoded-zh","Qdrant 讓 RAG 先過濾再找相似","我拆 Raunaq 的向量資料庫比較，整理出 filter-first RAG 的選型邏輯與可直接貼上的設計模板。","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780566519640-bdds.png","2026-06-04T09:47:59.450347+00:00",{"id":37,"slug":38,"title":39,"summary":40,"category":16,"image_url":41,"cover_image":41,"language":18,"created_at":42},"e4150272-a31a-45c4-b63c-91095bebfb82","5-turboquant-zh","5 個 TurboQuant 向量搜尋重點","5 個重點帶你看懂 TurboQuant 如何在向量搜尋中省記憶體、保品質，並判斷 4-bit、2-bit、標量與二值量化怎麼選。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780157886592-x73h.png","2026-05-30T16:17:39.14006+00:00",{"id":44,"slug":45,"title":46,"summary":47,"category":33,"image_url":48,"cover_image":48,"language":18,"created_at":49},"a9e7614e-8885-4017-a7a0-a27078f7e347","qdrant-vector-database-ai-search-zh","Qdrant 為 AI 應用加上向量搜尋","Qdrant 是用 Rust 寫的向量資料庫，主打語意搜尋、混合檢索、雲端與邊緣部署，適合 AI 應用做資料查找。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779512164975-hjhl.png","2026-05-23T04:55:31.578607+00:00",{"id":51,"slug":52,"title":53,"summary":54,"category":33,"image_url":55,"cover_image":55,"language":18,"created_at":56},"4a78a285-c9ab-400d-a4ea-ada7303fd327","how-to-choose-a-vector-database-in-2026-zh","2026 向量資料庫怎麼選","這篇教你用規模、價格和架構三步篩選 2026 年的向量資料庫，做出可落地的 shortlist。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778972632684-qdj2.png","2026-05-16T23:03:29.482997+00:00",{"id":58,"slug":59,"title":60,"summary":61,"category":16,"image_url":62,"cover_image":62,"language":18,"created_at":63},"b55f254d-6198-48f2-bc20-35e9d70f1bd1","why-qdrant-vector-search-gains-matter-more-than-raw-speed-zh","為什麼 Qdrant 的向量搜尋進展比原始速度更重要","Qdrant 的 GPU 建索引、跨可用區叢集與稽核紀錄，真正提升的是企業向量搜尋的可部署性，而不只是跑分。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777859503904-qij7.png","2026-05-04T01:51:19.303961+00:00",{"id":65,"slug":66,"title":67,"summary":68,"category":33,"image_url":69,"cover_image":69,"language":18,"created_at":70},"0ad0e45d-cb40-4267-bab8-d05ed973896a","qdrant-milvus-weaviate-rag-2026-comparison-zh","2026 RAG 向量資料庫三選一","2026 年做 RAG，Qdrant、Milvus、Weaviate 各有強項。這篇用延遲、規模、混合搜尋、成本與開發體驗，直接比較三者差異。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776126302600-xxf9.png","2026-04-14T00:24:39.218956+00:00",9]