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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Weaviate HTTP port
8080
Your Gemini API key
Weaviate host address
localhost
Weaviate gRPC port
50051
Distance threshold for semantic search
0.7
Limit for semantic search results
5
Gemini model for embeddings
models/embedding-001
Max concurrent background LLM tasks (embeddings/descriptions/refinements)
5
Set to true to enable background LLM description generation and refinement
true
Batch size for Weaviate operations
100
Gemini model for text generation
models/gemini-pro
File watcher polling interval in seconds
5
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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