<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>向量数据库 on Plbear | Cuz Penguin QQ</title><link>https://www.plbear.com/tags/%E5%90%91%E9%87%8F%E6%95%B0%E6%8D%AE%E5%BA%93/</link><description>Recent content in 向量数据库 on Plbear | Cuz Penguin QQ</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Wed, 15 Apr 2026 10:00:00 +0800</lastBuildDate><atom:link href="https://www.plbear.com/tags/%E5%90%91%E9%87%8F%E6%95%B0%E6%8D%AE%E5%BA%93/index.xml" rel="self" type="application/rss+xml"/><item><title>RAG 个人知识库实战：weknora + MCP 构建私有技术问答助手</title><link>https://www.plbear.com/posts/2026-04-15-rag-personal-knowledge-base/</link><pubDate>Wed, 15 Apr 2026 10:00:00 +0800</pubDate><guid>https://www.plbear.com/posts/2026-04-15-rag-personal-knowledge-base/</guid><description>基于 weknora + MCP 构建个人私有技术知识库 RAG 问答系统的完整实战，涵盖知识库搭建、文档处理、向量化、检索优化、MCP 接入、效果评估，以及在个人技术知识管理中的应用和踩坑经验。</description></item><item><title>向量数据库选型：Milvus vs Pinecone vs Weaviate vs pgvector</title><link>https://www.plbear.com/posts/2025-05-08-vector-database-comparison/</link><pubDate>Thu, 08 May 2025 10:00:00 +0800</pubDate><guid>https://www.plbear.com/posts/2025-05-08-vector-database-comparison/</guid><description>四款主流向量数据库的深度对比，Milvus、Pinecone、Weaviate、pgvector 的架构、性能、功能、部署方式、成本，以及在 RAG 场景下的选型实践和压测数据。</description></item></channel></rss>