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Personal Knowledge Base (RAG)

Build a personal knowledge base using RAG technology. Just drag web links, tweets, articles into chat, AI auto-extracts content and generates vector indexes. Then retrieve all saved knowledge via natural language.

RAG知识库语义搜索

Requirements

  • Vector database
  • Content parsing service
  • OpenClaw environment

Tips

  • Choose appropriate chunking strategy
  • Regularly update outdated content

Implementation Steps

1

Deploy vector database

2

Configure content parsing

3

Implement vector storage

4

Build RAG retrieval

5

Optimize retrieval quality

Ready to get started?

Check out the GitHub repo for complete code and documentation