Code & Development · GitHub ·656 ★

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.

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Details

Author
Bessouat40
Category
Code & Development
Platform
GitHub
Framework
openai
Language
python
Stars
656
First indexed
2026-05-15
Last active
2026-03-24
Directory sync
2026-05-15
@Bessouat40

Overview

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.

Quick start

git

git clone https://github.com/Bessouat40/RAGLight

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What RAGLight can do

frameworkapidataragembedding
  • Framework — framework task automation.
  • Api — api task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.

Frequently asked questions

What is 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.
How do I install RAGLight?
Use git: `git clone https://github.com/Bessouat40/RAGLight`. Full setup details on the source page linked above.
Is RAGLight open source?
RAGLight is published on GitHub.
What are alternatives to RAGLight?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for RAGLight is sourced from GitHub, published by Bessouat40.

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