RAG-Enabled MCP Server

Example Use Cases

• 1

  Perform semantic search over documentation collections.

• 2

  Manage and organize large sets of documents using metadata.

• 3

  Leverage advanced embeddings for document similarity and search.

Description

The RagDocs MCP Server offers semantic search and document management capabilities by leveraging a vector database and embeddings. It's designed for managing documentation with features like adding, searching, listing, and deleting documents. The server supports both free (Ollama) and paid (OpenAI) embeddings and utilizes Qdrant for vector storage, making it versatile for various setups and needs.