Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.

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

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

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

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train Qwen3, Llama 4, DeepSeek-R1, Gemma 3, 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.

AI's query engine - Platform for building AI that can answer questions over large scale federated data. - The only MCP Server you'll ever need

Self-hosted AI coding assistant

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

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

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

the AI-native open-source embedding database

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.

AI agent stdlib that works with any LLM and TypeScript AI SDK.

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.

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

The AI Browser Automation Framework