< cd ../gallery
[AI & ML]
RAGLight by Bessouat40
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. Maintained by Bessouat40 on GitHub, where it has earned 670 stars from the community.
# install
pip install raglightmore Ollama repos
AI & ML
A Docker-powered RAG system that understands the difference between code and prose. Ingest your codebase and documentation, then query them with full privacy and zero configuration. Maintained by 2dogsandanerd on GitHub, where it has earned 351 stars from the community.
7mo ago
AI & ML
Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network. Maintained by jonfairbanks on GitHub, where it has earned 756 stars from the community.
8w ago
AI & ML
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG). Maintained by amscotti on GitHub, where it has earned 286 stars from the community.
3mo ago
