This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the q…

Interact with your documents using the power of GPT, 100% privately, no data leaks

Supercharge Your LLM Application Evaluations 🚀

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

A minimalistic AI-powered search engine that helps you find information on the internet. Powered by Vercel AI SDK! Search with models like GPT-4o mini, GPT-4o and Claude 3.5 Sonnet(New)!

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data

🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)

Chat with PDF files with source highlights