by Bessouat40 · MCP Server · ★ 656
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 656 |
| Forks | 99 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 37.3/100 |
| Open Issues | 9 |
| Last Updated | 2026-03-24 |
| Created | 2024-12-12 |
| Platforms | mcp, python |
| Est. Tokens | ~991k |
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RAGLight is 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 connec. It is categorized as a MCP Server with 656 GitHub stars.
RAGLight is primarily written in Python. It covers topics such as agentic-ai, agentic-rag, agentic-workflow.
You can find installation instructions and usage details in the RAGLight GitHub repository at github.com/Bessouat40/RAGLight. The project has 656 stars and 99 forks, indicating an active community.
RAGLight is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to RAGLight on Agent Skills Hub include sre, browser-operator-core, AgenticGoKit. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.