kb-mcp-server

# PostgreSQL + pgvector configuration # Production-ready setup with full persistence # Requires PostgreSQL with pgvector extension path: ~/.txtai/embeddings # Where to save the index writable: true # Allow modifications # Content storage in PostgreSQL content: path: postgresql://user:pass@localhost:5432/txtai table: sections # Table name for content embeddings: # Model settings path: sentence-transformers/all-MiniLM-L6-v2 # Vector storage in PostgreSQL backend: pgvector database: postgresql://user:pass@localhost:5432/txtai table: vectors # Table name for vectors # Model settings gpu: true batch: 32 normalize: true # Scoring settings scoring: hybrid hybridalpha: 0.7 # Pipeline settings pipeline: workers: 4 # More workers for production queue: 100 timeout: 300 # QA settings extractor: path: distilbert-base-cased-distilled-squad maxlength: 512 minscore: 0.3 # Graph storage in PostgreSQL graph: backend: postgres path: postgresql://user:pass@localhost:5432/txtai table: graph # Table name for graph data # Optional workflow settings workflow: index: schedule: cron: "0 0 * * *" # Daily at midnight tasks: - action: index # Re-index data