Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

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

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

LlamaIndex is a data framework for your LLM applications

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: PGVector, Faiss. Any Files. Anyway you want.

🙌 OpenHands: Code Less, Make More

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

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A generative speech model for daily dialogue.

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

A cloud-native vector database, storage for next generation AI applications

A high-throughput and memory-efficient inference and serving engine for LLMs

A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.

Platform for building AI that can learn and answer questions over federated data.

🤖 The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

The Memory layer for your AI apps