Stalled AI Repos — Tracked 30+ Days

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

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

[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🦀 Prevents outdated Rust code suggestions from AI assistants.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

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.

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

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