向量数据库Vector Database
Vector Database
解决什么问题What problem it solves
专门存和查这些数字数组的数据库。RAG 能在百万份文档里瞬间找到相关的那几段，靠的就是它。A database built to store and search those numeric arrays, so RAG can find the relevant passages among millions of documents in an instant.
这是什么What it is
为「按相似度检索」设计的存储引擎，传统数据库做不了这种查询。
Storage engines designed for similarity search — a query traditional databases cannot serve.
为什么需要知道Why it matters
如果你要做 RAG，这就是必需件。理解它能帮你判断一个方案为什么快、为什么慢。If you are building RAG this is a must-have. Understanding it tells you why an approach is fast or slow.