Get up and running with GLM-4.7, DeepSeek, gpt-oss, Qwen, Gemma and other models.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

21 Lessons, Get Started Building with Generative AI

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Federated Query Engine for AI - The only MCP Server you'll ever need

微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。

Self-hosted AI coding assistant

A modular graph-based Retrieval-Augmented Generation (RAG) system

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Open-source search and retrieval database for AI applications.

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

An open-source RAG-based tool for chatting with your documents.

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

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

🚀 The fast, Pythonic way to build MCP servers and clients