retrieval-augmented-generation

A LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。

Setup and run a local LLM and Chatbot using consumer grade hardware.

Self-hosted, OpenAI-compatible AI gateway for private RAG, natural-language data access, and tool-calling agents.

⚡ Local chat assistants with AI superpowers

A Fork of Rikkahub with an overhauled UI and feature additions

Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.

Chatbot assistant enabling GitHub repository interaction using LLMs with Retrieval Augmented Generation

[EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation

an intro to retrieval augmented large language model

Chrome Extension to Summarize or Chat with Web Pages/Local Documents Using locally running LLMs. Keep all of your data and conversations private. 🔐

台灣判決語意檢索 MCP server + CLI（公開原始碼 source-available）：2,250 萬筆裁判書、行政函釋、憲法法庭裁判，附引用查核。Taiwan legal judgment retrieval via MCP. Bring your own LLM; retrieval-only.

An enterprise-grade AI retriever designed to streamline AI integration into your applications, ensuring cutting-edge accuracy.

[USENIX Security 2025] PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LLMs and Generates context for any coding question, in order to streamline the development of sophisticated AI-driven applications.

Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.

[NeurIPS'25, ICLR'26] Graph Foundation Model for Retrieval Augmented Generation

Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)

Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.

RAG-QA-Generator 是一个用于检索增强生成（RAG）系统的自动化知识库构建与管理工具。该工具通过读取文档数据，利用大规模语言模型生成高质量的问答对（QA对），并将这些数据插入数据库中，实现RAG系统知识库的自动化构建和管理。

A modular, skill-based autonomous Security Operations Center (SOC) agent that monitors OpenSearch/Elasticsearch data, builds RAG-based behavioral memory, and validates real-time anomalies using LLMs.