[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-redis":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"814efcee-15f7-42f8-ba52-787e73f22a60","Redis","redis",3,"Redis 是高效能的記憶體資料庫與資料結構伺服器，常用於快取、排行榜、分散式鎖與即時查詢。近年也常拿來做向量索引、語意搜尋與 RAG 的檢索層，成為資料密集系統的重要元件。","Redis is an in-memory data structure store used for caching, rate limiting, distributed locks, and low-latency queries. It also shows up in vector search pipelines, semantic retrieval, and RAG as a practical layer between applications and data.",[12],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"ea29007f-e989-470f-8968-68b7111caa88","rag-precision-tuning-hurts-retrieval-accuracy-en","RAG precision tuning can hurt retrieval accuracy","Redis research says tuning RAG embeddings for precision can cut retrieval accuracy by up to 40% and weaken agentic pipelines.","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778055669873-dzqb.png","en","2026-05-06T08:20:37.633155+00:00"]