RAGLight
UnclaimedRAGLight 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
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docker run -p 6333:6333 qdrant/qdrantSet up this server
agentic-aiagentic-ragagentic-workflowartificial-intelligencedata-scienceframeworkhuggingfacelmstudiomcpmcp-toolsmistral-apimistralaiollamaopenaiopenai-apiragretrieval-augmentedretrieval-augmented-generationvector-database
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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.