Enables fast natural language search of vectorized Markdown documents within an MCP-compatible environment.
RAGDB is a RAG (Retrieval-Augmented Generation) system designed to work with MCP (Minecraft Protocol) compatible chats. It allows users to store and search Markdown documents by converting them into vector embeddings. This enables natural language queries to quickly retrieve relevant information. It supports LibSQL for local file-based operation, Qdrant for cloud-based large-scale data, and PostgreSQL for large-scale data (under testing). It integrates seamlessly with MCP chats, allowing document management directly from within the chat environment.