RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

Code and documentation to train Stanford's Alpaca models, and generate the data.

An open source smart contract platform