Markdown RAG MCP

Example Use Cases

• 1

  Perform semantic search on markdown documentation.

• 2

  Real-time monitoring and incremental indexing of large document collections.

• 3

  Integration with a high-performance vector database for embedding storage.

Description

Markdown RAG MCP is a server designed to index and semantically search markdown documents with YAML frontmatter support. It features real-time file monitoring, incremental updates, and uses advanced HuggingFace sentence-transformers embeddings with a Milvus vector database backend. The system offers a CLI interface and demo scripts to facilitate integration and usage, making it ideal for developers needing intelligent markdown-based document search capabilities.