[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-向量資料庫":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":6,"article_count":7,"description_zh":8,"description_en":9},"f0e1a1d6-eaff-4b63-8dda-9e2a4d9b777c","向量資料庫",3,"向量資料庫用來儲存與檢索高維嵌入，常見於 RAG、語意搜尋與推薦系統。這個主題會關注索引結構、混合搜尋、延遲、召回率、擴充性與成本，也會比較 Qdrant、Milvus、Weaviate、Rust 系方案等實作差異。","Vector databases store and search high-dimensional embeddings for RAG, semantic search, and recommendation systems. This topic covers indexing, hybrid search, latency, recall, scaling, and cost, along with implementation tradeoffs across systems like Qdrant, Milvus, Weaviate, and Rust-based designs.",[11,20,28,35],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"92b08177-95c6-4743-89a9-f0314e6359c9","retrieval-augmented-generation-explained-zh","RAG 是什麼？白話看懂","RAG 讓 LLM 先查文件再回答，能減少幻覺、補上引用，也更適合企業知識庫與即時資料。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778083864937-hhfs.png","zh","2026-05-06T16:10:33.474941+00:00",{"id":21,"slug":22,"title":23,"summary":24,"category":25,"image_url":26,"cover_image":26,"language":18,"created_at":27},"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。","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776126302600-xxf9.png","2026-04-14T00:24:39.218956+00:00",{"id":29,"slug":30,"title":31,"summary":32,"category":16,"image_url":33,"cover_image":33,"language":18,"created_at":34},"6510a804-74fd-4073-9c73-a1b4d3dc491c","ibm-100b-vector-database-single-server-zh","IBM 單機塞進 1000 億向量","IBM 宣稱 CAS 原型在單一伺服器上索引 1000 億向量，平均延遲 694 毫秒、召回率超過 90%。這篇拆解它怎麼做、跟一般向量資料庫差在哪、以及對企業 RAG 架構的影響。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776125936277-ct7n.png","2026-04-14T00:18:35.333469+00:00",{"id":36,"slug":37,"title":38,"summary":39,"category":25,"image_url":40,"cover_image":40,"language":18,"created_at":41},"af6bd5c1-b58a-4c4c-adff-9dd6a2bf7cbe","ferresdb-production-rust-vector-db-updates-zh","FerresDB 走向正式上線的 Rust 搜尋","FerresDB 新增 PolarQuant、HNSW 自動調參、PITR、reranking 與 Raft 分散式儲存，開始像一套可上線的 Rust 向量資料庫。","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775168156597-iqqe.png","2026-04-02T22:15:41.697535+00:00"]