Provides semantic search and Retrieval-Augmented Generation (RAG) capabilities for markdown documentation.
This tool functions as a server for markdown documentation, offering advanced semantic search and RAG features. It efficiently processes markdown files, including those with YAML frontmatter, through automatic chunking and metadata extraction. Users can find relevant content using natural language queries, supported by incremental updates, real-time file system monitoring, and advanced HuggingFace sentence-transformer embeddings running locally. Built with a high-performance Milvus vector database, it integrates as an MCP server providing a 'search' tool for intelligent document retrieval.