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

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

A programming framework for agentic AI

利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.

Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …

An autonomous agent that conducts deep research on any data using any LLM providers

Sample code for a simple web chat experience through Azure OpenAI, including Azure OpenAI On Your Data.

DAMO-ConvAI: The official repository which contains the codebase for Alibaba DAMO Conversational AI.

Official Implementation of "Multi-Head RAG: Solving Multi-Aspect Problems with LLMs"

a semi-structure representation of database schema

Data visualization guide for presentations, reports, and dashboards