llm-rag-with-reranker-demo by yankeexe

RAGify is designed to enhance search capabilities using Retrieval-Augmented Generation (RAG). By combining traditional web search with AI-driven contextual understanding, RAGify retrieves relevant information from the web and generates concise, human-readable summaries. Maintained by pcastiglione99 on GitHub, where it has earned 31 stars from the community.

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.

Build a 100% local Retrieval Augmented Generation (RAG) system with Python, LangChain, Ollama and ChromaDB!. Maintained by ThomasJanssen-tech on GitHub, where it has earned 88 stars from the community.