[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-ai儲存":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"a326bbcf-1262-42a5-bd21-abcfd9ea2f84","AI儲存","ai儲存",1,null,[11],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"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。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776125936277-ct7n.png","zh","2026-04-14T00:18:35.333469+00:00"]