🪟 Microsoft
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
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Official implementation code of the paper <AnyText: Multilingual Visual Text Generation And Editing>
mPLUG-Owl: The Powerful Multi-modal Large Language Model Family
Convert Word documents (.docx files) to HTML
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous …
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
Private & local AI personal knowledge management app for high entropy people.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes mos…
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Web UI for AutoGen (A Framework Multi-Agent LLM Applications)
Simple implementation of Autogen with FastApi backend and React frontend
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
The easiest way to use Agentic RAG in any enterprise