
DuckDB-RAG-MCP-Sample
Public
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
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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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