kb-mcp-server

# Base configuration template for txtai embeddings # This serves as a foundation for domain-specific configurations # Main path configuration path: .txtai/kb-base content: true writable: true # Text extraction configuration textractor: paragraphs: true minlength: 50 cleantext: true backend: "text" # Default backend, can be overridden # Embedding configuration embeddings: path: sentence-transformers/all-mpnet-base-v2 # General-purpose model content: true normalize: true hybrid: true gpu: true # Use GPU if available # Storage configuration writable: true # Vector storage (for embeddings) backend: faiss # Fast vector similarity search # Document storage (for content and metadata) storagetype: sqlite # SQL database for document storage # Scoring methods scoring: method: bm25 normalize: true terms: cachelimit: 1000000000 cutoff: 0.001 # Graph configuration graph: backend: "networkx" batchsize: 256 limit: 10 minscore: 0.3 approximate: true topics: algorithm: "louvain" terms: 4 centrality: "pagerank" directed: true weight: "similarity" # Graph search options search: max_hops: 2 use_centrality: true min_score: 0.3 # Search configuration search: limit: 5 minscore: 0.3 rerank: true weights: bm25: 0.5 similarity: 0.5