ragdocs
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RagDocs MCP Server provides Retrieval-Augmented Generation capabilities using Qdrant and embeddings from Ollama or OpenAI. It is designed for semantic document search and management, enabling users to efficiently handle and query documentation. The server supports both local and cloud-based setups with flexible embedding options.
RagDocs MCP Server
A Model Context Protocol (MCP) server offering Retrieval-Augmented Generation (RAG) using Qdrant and embeddings from Ollama/OpenAI. Features include:
- Add and manage documentation with metadata.
- Perform semantic searches.
- List, organize, and delete documents.
- Supports both free and paid embeddings.
Prerequisites
- Requires Node.js 16+.
- Needs Qdrant setup locally with Docker or Qdrant Cloud.
- Embeddings through Ollama or OpenAI.
Features
- Add, search, list, and delete documents.
Installation
Install via npm install -g @mcpservers/ragdocs.
Configuration
Different configurations for embedding providers and Qdrant setup are supported.