Enables MCP clients to query a local Kubernetes/Docker knowledge base through semantic search, ask DevOps questions via a RAG pipeline, and search a troubleshooting journal by symptom.
Enables AI coding assistants to search and retrieve information from a locally ingested knowledge base using hybrid search, grounded in user-curated documentation.
Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.