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.
Growth we measured
6 daily star snapshots stored by whatstrending.ai, 2026-08-09 to 2026-08-14. GitHub shows today's number; this is the movement behind it.
- Ranked #1204 by stars among the 1,643 repos we snapshot, using the latest star count we recorded for each.
How this is measured. whatstrending.ai stores its own daily star and fork snapshot for every repo in its trending index. Every figure above is a delta between two of those stored rows — 6 snapshots for Bessouat40/RAGLight between 2026-08-09 and 2026-08-14. Our history starts 2026-06-19; we hold nothing from before that date. Nothing here is estimated, interpolated or back-filled, and days without a snapshot are simply not plotted.
Add the Trending AI Repo badge to your README
Bessouat40/RAGLight is in the whatstrending.ai tracked index, so this badge already resolves. It is free, needs no account, and updates itself: the rank is recomputed from our stored daily snapshots and the image is re-fetched a few times a day. Clicking it lands on this page, which shows the star history we measured.
[](https://whatstrending.ai/repos/Bessouat40/RAGLight)<a href="https://whatstrending.ai/repos/Bessouat40/RAGLight"><img src="https://whatstrending.ai/badge/repo/Bessouat40/RAGLight.svg" alt="Trending AI Repo"></a>We never open issues or pull requests to ask maintainers to add this. How the badge works →