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RAGLight

RAGLight

by Bessouat40 · GitHub

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.

# agentic-ai# agentic-rag# agentic-workflow# artificial-intelligence
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⭐ Stars
670
🍴 Forks
101
📜 License
MIT
Commercial use OK
📅 Created
2024
🔄 Last commit
25 days ago
🏷️ Category
agentic-ai
💻 Language
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RAGLight — GitHub preview card
📈 Star history
671670
2026-07-202026-07-21
📄 About

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.

Frequently asked questions

What is RAGLight?

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.

Is RAGLight open source?

RAGLight is an open-source project. It is released under the MIT license.

Is RAGLight free?

Yes. RAGLight is free and open source — you can use, modify and self-host it.

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