1564 AI and ML repositories matching this view, measured from our own daily snapshots · page 11 of 11
Growth figures are ours: 51,471 daily star snapshots stored across 2,497 repos on 110 snapshot days since 2026-06-19. Repos with no measured line are in the index but have no stored snapshot yet, and nothing is estimated.
camelAI — an AI coding assistant platform built on Cloudflare Workers and Durable Objects
Prompt-as-Code for Enterprise AI. Standardize, audit, and deploy instructions across any AI coding assistant.
An NVIDIA AI Workbench example project for Retrieval Augmented Generation (RAG)
Project memory system for AI coding assistants (Claude Code, Cursor, Codex): session logs, project wiki, rules, TODOs, and handoff.
Built on **Agentic RAG** (Agent-driven Retrieval-Augmented Generation) technology, it not only accurately answers pre-sales and after-sales questions but also generates personalized usage reports and optimization suggestions by deeply analyzing device data.
Agent skills that make AI coding assistants write production-grade robotics software. ROS1, ROS2, design patterns, SOLID principles, and testing — for Claude Code, Cursor, Copilot, and any SKILL.md-compatible agent.
A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.
Project CodeGuard is an open-source, model-agnostic security framework that embeds secure-by-default practices into AI coding agent workflows. It provides comprehensive security rules that guide AI assistants to generate more secure code automatically.
This is an implementation of the paper: Searching for Best Practices in Retrieval-Augmented Generation (EMNLP2024)
Practical techniques for coding with ai assistants (Claude Code, Codex CLI, Cursor, GitHub Copilot, etc). Available in: English • Español • Deutsch • Français • 日本語
🧠 Guide to Building RAG (Retrieval-Augmented Generation) Applications
Awesome-RAG-Vision: a curated list of advanced retrieval augmented generation (RAG) for Computer Vision
Vibe Genius 团队整理的 DeepLearning.AI 官方课程 'Claude Code: A Highly Agentic Coding Assistant' 学习笔记，由 Andrew Ng 和 Anthropic 的 Elie Schoppik 主讲
本项目实现了一个基于多智能体（Multi-Agent）和检索增强生成（Retrieval-Augmented Generation, RAG）技术的客户支持系统。它利用 Python、LangChain 和 LangGraph 构建了一个能够处理各种旅行相关查询的对话式 AI，包括航班预订、租车、酒店预订和行程推荐。还有对接了woocommerce商城进行商品查询，文章查询，表单提交，订单查询等商城功能。
Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.
"Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation" by Yifan Feng, Hao Hu, Shihui Ying, Xingliang Hou, Shiquan Liu, Mingyuan Yang, Junchang Li, Shaoyi Du, Nanning Zheng, Han Hu, and Yue Gao.
DeepSeek CLI, a command-line AI coding assistant that leverages the powerful DeepSeek Coder models
Custom chatMode.md personas for GitHub Copilot — specialize your VS Code with AI assistants for testing, security, clean‑code refactoring, dashboards, prompt design, and more. Just drop in and select your mode.
An AI assistant tool that integrates coding, writing, and reading functions. For better alternatives see https://monica.im/desktop
Embed AI assistants in Godot with the ability to read and write code in Godot's Code Editor.
[EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
An intelligent Wiki overlay tool designed specifically for gamers, featuring GEMINI-powered RAG (Retrieval-Augmented Generation) capabilities for smart Q&A services.
an intro to retrieval augmented large language model
[NeurIPS'25, ICLR'26] Graph Foundation Model for Retrieval Augmented Generation
[USENIX Security 2025] PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.
This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite AI coding assistant to vibe-code Strands Agents.
A 3D interface for visualizing RAG (Retrieval-Augmented Generation) memory structures in real-time.
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
Youtu-RAG: Next-Generation Agentic Intelligent Retrieval-Augmented Generation System
WARC + AI - Experimental Retrieval Augmented Generation Pipeline for Web Archive Collections.
Unified local observability for AI coding assistants
WebCode is a browser-based AI coding platform that lets you remotely run CLI assistants like Claude Code and Codex. Code anywhere with just a web browser. We’re also adding an office-assistant mode for planning, research/summaries, meeting notes, and drafting docs/emails—connected to your project context.
Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"
Governed execution layer for AI coding assistants: clarify intent, route capabilities, review evidence, verify results, and write back lessons across Claude Code, Codex, OpenClaw, and Cursor.
A curated list of battle-tested tools, frameworks, and best practices for building scalable, production-grade Retrieval-Augmented Generation (RAG) systems.
This repository is the source code for examples and illustrations discussed in the book - A Simple Introduction to Retrieval Augmented Generation
Completed research on semantic retrieval augmented generation through novel semantic similarity graph traversal algorithms.
One hub for every AI coding agent. Unified configuration management for 22+ assistants.
Teach your AI coding assistant how to use Sentry - setup, debugging, alerts, and more
An open-source VSCode extension, the AI coding assistant, integrates with Ollama, HuggingFace, OpenAI, and Anthropic.
Official code for TOIS2026 "Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models"
Official Implementation for the ACL 2026 paper "SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression"
Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.
Official repo for "LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs".
CTI-RAG is a Retrieval-Augmented Generation (RAG) framework for Cyber Threat Intelligence (CTI), integrating knowledge graph and causal reasoning capabilities to provide security analysts with an intelligent threat intelligence analysis tool.
[CVPR 2026] RAGTrack: Language-aware RGBT Tracking with Retrieval-Augmented Generation
A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.
RAG Logger is an open-source logging tool designed specifically for Retrieval-Augmented Generation (RAG) applications. It serves as a lightweight, open-source alternative to LangSmith, focusing on RAG-specific logging needs.
[KDD 2026] MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation
Knowledge Graph Retrieval Augmented Generation (KG-RAG) Eval Datasets
🔍 Deep RAG: Advanced Retrieval-Augmented Generation system that goes beyond vector search. Enables AI to perform multi-hop reasoning, negation queries, numerical comparisons & global aggregation on your knowledge base. Supports OpenAI, Anthropic, Google Gemini. Python FastAPI + React UI
Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖❤️📚
Codes for our paper "RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation"
RAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning
Launching the "Agent Creation Toolkit", providing developers with an intuitive and efficient Development Environment, supporting the rapid construction of intelligent agents. The toolkit will integrate RAG (Retrieval-Augmented Generation) Knowledge Base and LLMOps toolchain.
The official repository for the paper: Evaluation of Retrieval-Augmented Generation: A Survey.
RAGStack is an out of the box solution simplifying Retrieval Augmented Generation (RAG) in AI apps.
ELISA (Emacs Lisp Information System Assistant) is a system designed to provide informative answers to user queries by leveraging a Retrieval Augmented Generation (RAG) approach.
awesome-rag: a collection of awesome thing related to Retrieval-Augmented Generation
[ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
[arXiv'25] EraRAG: Efficient and Incremental Retrieval-Augmented Generation for Growing Corpora
[NeurIPS 2026 TTCL] Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
A retrieval augmented generation chatbot 🤖 powered by 🔗 Langchain, Cohere, OpenAI, Google Generative AI and Hugging Face 🤗