Popular GitHub Repositories for Genai Labs

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.

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.

DocsGPT is an open-source genAI tool that helps users get reliable answers from knowledge source, while avoiding hallucinations. It enables private and reliable information retrieval, with tooling and agentic system capability built in.

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.

Gen AI Toolbox for Databases is an open source server that makes it easier to build Gen AI tools for interacting with databases.

An 11-Lesson course teaching everything you need to know about harnessing GitHub Copilot as an AI Paired Programming resource.

An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAI

TensorFlow Basic Tutorial Labs

Standardized Serverless ML Inference Platform on Kubernetes

Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai

??AutoDev: The AI-powered coding wizard（AI 驱动编程助手）with multilingual support ?, auto code generation ??, and a helpful bug-slaying assistant ?! Customizable prompts ? and a magic Auto Dev/Testing/Document/Agent feature ? included! ?

GenAI Cookbook

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

Neo4j graph construction from unstructured data using LLMs

Control GenAI interactions with power, precision, and consistency using LLM-native Conversation Design paradigms

Simple, scalable AI model deployment on GPU clusters

? Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). ? OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. ?️ Llama3, Mistral, etc. ?‍? Video Tutorials.

Automatable GenAI Scripting

Optimizing inference proxy for LLMs