kb-mcp-server

# Configuration optimized for data science content # Examples: ML tutorials, data analysis guides, statistics explanations # Main path configuration path: .txtai/kb-datascience content: true writable: true # Text extraction configuration textractor: paragraphs: true minlength: 50 cleantext: true backend: "text" # Embedding configuration embeddings: # Model good for technical and scientific content path: sentence-transformers/nli-mpnet-base-v2 # Good for data science terminology content: true normalize: true hybrid: true gpu: true # Storage configuration writable: true backend: faiss storagetype: sqlite # Scoring methods scoring: method: bm25 normalize: true terms: cachelimit: 1000000000 cutoff: 0.001 # Graph configuration - optimized for data science relationships graph: backend: "networkx" batchsize: 256 limit: 5 # Focused connections for clearer relationships minscore: 0.4 # Higher threshold for quality connections approximate: true topics: algorithm: "louvain" terms: 4 centrality: "betweenness" # Good for finding bridging concepts directed: true weight: "similarity" # Graph search options search: max_hops: 1 # Limited hops for more focused results use_centrality: true min_score: 0.5 # Higher threshold for relevance # Search configuration - optimized for data science queries search: limit: 3 # Focused results minscore: 0.5 # Higher threshold for quality rerank: true weights: bm25: 0.5 similarity: 0.5