An LLM-powered advanced RAG pipeline built from scratch
$ git clone https://github.com/pchunduri6/rag-demystified.git🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.
A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
Framework for enhancing LLMs for RAG tasks using fine-tuning.
LLMFlows - Simple, Explicit and Transparent LLM Apps
Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.
Data from GitHub · snapshot Sep 24, 2026