ClaudeWave
Bessouat40
Bessouat40

RAGLight

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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.

Subagents656 stars100 forks● PythonMITUpdated 21d ago
ClaudeWave Trust Score
100/100
✓ Verified
Passed
  • ✓Open-source license (MIT)
  • ✓Actively maintained (<30d)
  • ✓Healthy fork ratio
  • ✓Clear description
  • ✓Topics declared
  • ✓Mature repo (>1y old)
Last scanned: 4/14/2026
Install in Claude Desktop
Method detected: Manual
{
  "mcpServers": {
    "raglight": {
      "command": "node",
      "args": ["/path/to/RAGLight/dist/index.js"]
    }
  }
}
1. Copy the snippet above.
2. Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
3. Replace any <placeholder> values with your API keys or paths.
4. Restart Claude Desktop. The MCP server appears automatically.
💡 Clone https://github.com/Bessouat40/RAGLight and follow its README for install instructions.
Use cases
🧠 AI / ML🎨 Creative🤖 Automation
About

Subagents overview

README preview not available. Visit the repo on GitHub for full documentation.
Topics
agentic-aiagentic-ragagentic-workflowartificial-intelligencedata-scienceframeworkhuggingfacelmstudiomcpmcp-toolsmistral-apimistralaiollamaopenaiopenai-apiragretrieval-augmentedretrieval-augmented-generationvector-database
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