pchunduri6/rag-demystified
An LLM-powered advanced RAG pipeline built from scratch
[EMNLP2025] LLM-KG4QA: Large Language Models and Knowledge Graphs for Question Answering
$ git clone https://github.com/machuangtao/LLM-KG4QA.gitAn LLM-powered advanced RAG pipeline built from scratch
Framework for enhancing LLMs for RAG tasks using fine-tuning.
๐ฅ Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation ๐ฅ. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc
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.
Data from GitHub ยท snapshot Sep 24, 2026