Bessouat40 / 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.
Why this job: says: rag; topics: rag, retrieval-augmented-generation, vector-database, retrieval augmented
What it does
RAGLight 4 is a small, typed Python toolkit for composing classic and agentic retrieval-augmented generation pipelines. The core package has no third-party runtime dependency: applications inject an LLM, an embedding model, a vector store, and optional behavior through public structural protocols.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 25 days ago
- Stars
- 672
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 3.4.7
- Released 7 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 78% closed
- 13 still open
- Pull requests
- 107 merged
- 2 waiting
- Releases
- 45
- 10 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- Python 100%
- Makefile <1%
Topics
- agentic-ai
- agentic-rag
- agentic-workflow
- artificial-intelligence
- data-science
- framework
- huggingface
- lmstudio
- mcp
- mcp-tools
- mistral-api
- mistralai
Project record
- JobRAG and search
- StatusListed
- Commits556
- Forks102
- Watching5
- Stars in 28 days+3
- CreatedDec 12, 2024
- First seen by usNov 7, 2026
- CheckedNov 7, 2026