[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"glossary-articles-vector-database-zh-TW":3},[4,17,28,38,47],{"id":5,"slug":6,"title":7,"summary":8,"source":9,"category":10,"image_url":11,"cover_image":11,"language":12,"views":13,"created_at":14,"published_at":15,"topic_cluster_id":16,"topic_clusters":16},"94616438-b26b-4ff5-a98f-6add5b4765e4","why-databricks-rag-is-platform-play-not-feature-zh","為什麼 Databricks 的 RAG 是平台戰，不是功能","Databricks 把 RAG 當成端到端平台問題，這不是包裝，而是正確的產品判斷。","docs.databricks.com","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777959647452-yykk.png","zh",1,"2026-05-05T05:40:27.168734+00:00","2026-05-05T05:40:26.962+00:00",null,{"id":18,"slug":19,"title":20,"summary":21,"source":22,"category":23,"image_url":24,"cover_image":24,"language":12,"views":25,"created_at":26,"published_at":27,"topic_cluster_id":16,"topic_clusters":16},"254c9611-aa49-4f96-be03-77c9c2f8007b","what-rag-is-and-why-it-matters-zh","RAG 是什麼，為何重要","RAG 讓 LLM 先查外部可信資料再回答，能降低幻覺、更新更快，也更適合企業文件與權限控管。","aws.amazon.com","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777958450449-qp57.png",2,"2026-05-05T05:20:30.928679+00:00","2026-05-05T05:20:30.757+00:00",{"id":29,"slug":30,"title":31,"summary":32,"source":33,"category":34,"image_url":35,"cover_image":35,"language":12,"views":13,"created_at":36,"published_at":37,"topic_cluster_id":16,"topic_clusters":16},"d2ba34dd-5488-4b1d-9af8-e38092d7a806","actian-vectorai-db-claims-22x-faster-search-zh","Actian VectorAI DB 主打 22 倍搜尋速度","Actian 推出 VectorAI DB，把向量搜尋塞進資料庫內，主打比常見方案快 22 倍，也想少掉外部向量服務的整合成本。","www.hpcwire.com","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777936259138-tnh6.png","2026-05-04T23:10:38.752315+00:00","2026-05-04T23:10:38.704+00:00",{"id":39,"slug":40,"title":41,"summary":42,"source":43,"category":10,"image_url":44,"cover_image":44,"language":12,"views":25,"created_at":45,"published_at":46,"topic_cluster_id":16,"topic_clusters":16},"f57d2afa-7a99-40c3-870a-06290956b5db","why-2026-ai-engineer-roadmap-wrong-starting-point-zh","為什麼 2026 AI 工程師路線圖不是最佳起點","2026 AI 工程師路線圖太寬，適合當參考，不適合當第一份學習計畫。","github.com","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777860652350-3s7g.png","2026-05-04T02:10:24.315161+00:00","2026-05-04T02:10:24.155+00:00",{"id":48,"slug":49,"title":50,"summary":51,"source":52,"category":10,"image_url":53,"cover_image":53,"language":12,"views":13,"created_at":54,"published_at":55,"topic_cluster_id":16,"topic_clusters":16},"779f5798-9c39-4ce2-95d7-f0abfd24a695","five-ai-infra-frontiers-bessemer-2026-zh","Bessemer 看準的 5 個 AI 基礎設施前線","Bessemer 2026 AI infra 藍圖指向 memory、continual learning、RL、inference 與 world models。重點不是更大模型，而是讓 AI 真正進到生產環境。","www.bvp.com","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775164388114-uo7t.png","2026-04-02T21:12:39.852377+00:00","2026-04-02T21:12:39.792+00:00"]