An open-source collection of tutorials and runnable scripts for over 30 advanced Retrieval-Augmented Generation (RAG) techniques, including Graph RAG, Agentic RAG, and various retrieval optimization strategies, implemented primarily with LangChain.
Official code repository for the O'Reilly book "Hands-On Large Language Models". Features 12 core chapters and bonus content covering Tokens, Transformers, RAG, and Fine-tuning. Includes 300+ illustrations and runnable Jupyter Notebooks optimized for Colab and local environments.
A comprehensive AI engineering hub featuring 93+ production-ready projects with in-depth tutorials and implementations for LLMs, RAGs, AI Agents, and MCP, covering beginner to advanced skill levels.
AI-Compass is a comprehensive open-source project that provides learning paths and practical guidelines for AI technologies, helping users from beginners to professionals build a complete AI knowledge system from fundamental theory to cutting-edge applications.
A curated collection of autonomous agents (LLM) research papers updated daily, providing the latest AI research findings for researchers and developers。
A comprehensive educational project using SpringAI framework that demonstrates and practices SSE streaming, Agent intelligent systems, knowledge graph RAG, FunctionCall, historical message processing, image generation and understanding, and Embedding technologies.
A practical notebook-based tutorial package teaching Retrieval-Augmented Generation (RAG) techniques through the Langchain framework, integrating with OpenAI GPTs and META LLAMA3 for intelligent knowledge-enhanced conversation systems。
A comprehensive guide for prompt engineering containing papers, guides, lessons, notebooks, and resources on prompt engineering, context engineering, RAG, and AI Agents.
A curated collection of resources that bridge the gap between Retrieval-Augmented Generation (RAG) and Reasoning in Large Language Models and Agents, featuring papers, tools, and implementations.
ARGO is an open-source AI Agent platform that brings local Large Language Models to your desktop with one-click downloads, offline-first RAG knowledge bases, and multi-agent collaboration capabilities, keeping 100% of your data locally secure。
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