
RAG Documentation Search
Leverage retrieval augmented generation and Pinecone vector database for precise, context-aware document search and retr
Installation
Paste the snippet below into your client's config.
Installation
Quick info
- Category
- AI & Machine Learning
- Transport
- STDIO
- License
- MIT
- GitHub stars
- 28
- Views
- 746
Compatible with
- Claude Code
- Claude Desktop
- codex
- Cursor
- gemini-cli
- VS Code
- Windsurf
Found in: mcp.directory
Overview
Provides semantic document search and retrieval through vector embeddings, enabling context-aware responses backed by specific documentation sources
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