Python Codebase Analysis RAG System
Analyzes Python codebases using AST to extract and vectorize code elements, enabling advanced querying, semantic search, visualization, and natural language Q&A via a Model Context Protocol (MCP) server integrated with LLM-powered embeddings and background refinement.
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Set to true to enable background LLM description generation and refinement
trueGemini model for text generation
models/gemini-proMax concurrent background LLM tasks (embeddings/descriptions/refinements)
5Weaviate gRPC port
50051Weaviate HTTP port
8080Batch size for Weaviate operations
100Limit for semantic search results
5Distance threshold for semantic search
0.7Weaviate host address
localhostFile watcher polling interval in seconds
5Your Gemini API key
Gemini model for embeddings
models/embedding-001Security Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
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