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DuckDB-RAG-MCP-Sample

DuckDB-RAG-MCP-Sample

Public
nananaman/DuckDB-RAG-MCP-Sample

Enables embedding and vectorizing markdown documents for retrieval-augmented generation using DuckDB-based vector search, Parquet data persistence, and Model Context Protocol integration.

python
0 tools
May 30, 2025
Updated Jun 4, 2025

Supercharge Your AI with DuckDB-RAG-MCP-Sample

MCP Server

Unlock the full potential of DuckDB-RAG-MCP-Sample through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.

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Configuration Requirements
none
Configure authentication and required variables to access this MCP server
Required Environment Variables
VECTOR_PARQUET
Optional
string

Path to the Parquet file containing vector data

Security Notice

Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.

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