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.
- ✓Open-source license (MIT)
- ✓Recently active
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- ✓Mature repo (>1y old)
git clone https://github.com/Bessouat40/RAGLight && cp RAGLight/*.md ~/.claude/agents/Subagents overview
What people ask about RAGLight
What is Bessouat40/RAGLight?
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Bessouat40/RAGLight is subagents for the Claude AI ecosystem. 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. It has 664 GitHub stars and was last updated 2mo ago.
How do I install RAGLight?
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You can install RAGLight by cloning the repository (https://github.com/Bessouat40/RAGLight) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is Bessouat40/RAGLight safe to use?
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Our security agent has analyzed Bessouat40/RAGLight and assigned a Trust Score of 97/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains Bessouat40/RAGLight?
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Bessouat40/RAGLight is maintained by Bessouat40. The last recorded GitHub activity is from 2mo ago, with 13 open issues.
Are there alternatives to RAGLight?
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Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
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