GitHub AI Repos
Discover popular open-source AI projects. Explore libraries, runtimes, agents, databases, and frameworks categorized by programming languages and GitHub stars.
Neo4j graph construction from unstructured data using LLMs
Everything you need to know to build your own RAG application
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.