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RAGLight

Unclaimed

by Bessouat40

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.

Install

$docker run -p 6333:6333 qdrant/qdrant

Set up this server

This server needs project-specific setup. Follow the project instructions; no reusable public launch command is available yet.

Project instructions
agentic-aiagentic-ragagentic-workflowartificial-intelligencedata-scienceframeworkhuggingfacelmstudiomcpmcp-toolsmistral-apimistralaiollamaopenaiopenai-apiragretrieval-augmentedretrieval-augmented-generationvector-database

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Tool change history

Compared across complete checks of the same configuration. Tools were listed, not invoked. Input-schema changes are not measured here.

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FAQ

Questions about RAGLight MCP Server

How do I connect RAGLight MCP Server to Claude?
The listing records `docker run -p 6333:6333 qdrant/qdrant` as its setup step. Run it, then follow the repository's instructions for the client configuration; the listing names VS Code as compatible clients.
Is RAGLight MCP Server free?
The listed licence is MIT. Check the upstream terms for permitted use and commercial requirements; a public repository does not by itself mean the software is free or open source. Connected APIs and hosted services may have separate charges.
What can RAGLight MCP Server do?
MCPVault has not yet recorded the tool list for RAGLight MCP Server; it is captured when the server passes a live MCP handshake. The description above is what the project publishes.