130 个 · RAG 检索增强 · 应用
RAGFlow 是一款领先的开源 RAG 引擎，融合前沿 RAG 与 Agent 能力，为 LLM 构建更优的上下文层。RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
[EMNLP2025] "LightRAG:简单且快速的检索增强生成"[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
模块化的、基于图结构的 Retrieval-Augmented Generation (RAG) 系统。A modular graph-based Retrieval-Augmented Generation (RAG) system
📑 PageIndex：面向无向量、基于推理的 RAG 的文档索引📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
LLM 实战指南：从基础到使用 LLMOps 最佳实践将 LLM 和 RAG 应用部署到 AWSThe LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
面向 monorepo 的终极 RAG。借助 AI 与知识图谱的能力，对多语言代码库进行查询、理解与编辑。The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
免费学习如何使用 LLMOps 最佳实践构建端到端生产级 LLM & RAG 系统：源码 + 12 个实操课程。🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
⚡FlashRAG：面向高效 RAG 研究的 Python 工具包（WWW2025 Resource）⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
漂亮的、AI 原生的 markdown IDE 与 LLM 知识库。Beautiful, AI-native markdown IDE and LLM wiki
内置知识库 · 2.4 亿文献源 · PDF 全文翻译零配置 · 无插件网页版 app.ai4paper.pro · AI 速搜文献 · AI 一键综述 · 小程序期刊订阅 · 原生支持 Zotero 7–10 | AI4Paper.pro
RAG 领域新 SOTA —— 一种全新的原创检索架构，以及面向人类与 Agent 的开源知识库。A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.
用于获取和校验 DOI 与 shortDOI 的 Zotero 扩展。Zotero extension to retrieve and validate DOIs and shortDOIs
基于 OpenSearch 构建的开源、自托管企业及站内搜索服务器，爬取网页、文件、数据库与云端数据源，支持 20+ 语言、REST API，以及 AI/RAG 与语义搜索。Apache-2.0。Open-source, self-hosted enterprise & site search server built on OpenSearch. Crawls web / file / DB / cloud sources, 20+ languages, REST API, and AI/RAG & semantic search. Apache-2.0.
一份共享记忆，被 Claude Code、Codex、Cursor、Copilot CLI、OpenClaw 以及另外 29 个 coding agent 共同使用，基于磁盘上已有的会话历史构建。在任一 agent 中发现的修复会自动同步到其他所有 agent，包括安装前数月的会话。无需 LLM，无需 embeddings，单个本地 Go 二进制。One memory shared by Claude Code, Codex, Cursor, Copilot CLI, OpenClaw and 29 more coding agents, built from the session history already on disk. A fix found in one agent comes back in any of them, including months of sessions from before you installed it. No LLM, no embeddings, one local Go binary.
📚 AIGC 求职面经、必备基础知识、提示词工程、ChatGPT、Stable Diffusion、Prompt、Embedding、Fintune 等 AIGC 求职你所需要知道的一切~
使用开源 LLM 摄取文件用于检索增强生成（RAG），无需第三方，数据不出你的网络。Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
极简网络搜索平台，配有可在浏览器直接运行的 AI 助手。Demo：https://felladrin-minisearch.hf.spaceMinimalist web-searching platform with an AI assistant that runs directly from your browser. Demo: https://felladrin-minisearch.hf.space
Open Paper 是用于管理研究文献库的工作台，集阅读、批注与理解于一体，可借助 AI 助手开展文献综述Open Paper is a workbench for managing your research library. Read, annotate, and understand your papers all in one place. Use an AI assistant to conduct your literature review.
该 Web 应用基于 OpenAlex（OA）、Semantic Scholar（S2）与 Crossref（CR）的元数据，结合本地引文网络，辅助科研人员开展文献综述This web app aims to help scientists with their literature review using metadata from OpenAlex (OA), Semantic Scholar (S2) and Crossref (CR) in local citation networks.
デジタル庁のガバメントAI「源内(GENAI)」を完全ローカル(ローカルLLM/OpenAI互換)で動かす非公式プロジェクト。SAML認証(Keycloak)・RAG(Qdrant)・文字起こし(Whisper)・画像生成(SD)・チーム単位ナレッジをローカル完結。
本地代码搜索，结合 BM25、向量相似度与 cross-encoder 重排序。使用 tree-sitter 解析 60+ 种语言，完全离线运行，返回包含文件路径、行号范围与符号元数据的结构化结果。使用 Rust 构建。Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with tree-sitter, runs entirely offline, and returns structured results with file paths, line ranges, and symbol metadata. Built in Rust.
面向实验的 GenAI/RAG 优化器与工具包，基于 Oracle Database AI Vector Search 与 NL2SQLGenAI/RAG Optimizer and Toolkit for experimentation using Oracle Database AI Vector Search and NL2SQL
为大型语言模型（LLM）和 RAG 系统转换并优化你的 markdown 文档，自动生成 llms.txt。Transform and optimize your markdown documentation for Large Language Models (LLMs) and RAG systems. Generate llms.txt automatically.
FactCircuit：具备不可篡改来源、分阶段检查、有界检索与可复现评估的可审计主张-证据验证回路。FactCircuit: an auditable claim-and-evidence verification loop with immutable provenance, staged checks, bounded retrieval, and reproducible evaluation.
在单台 DGX Spark 上运行 Qwen3.8-Flash-Next (180B)，方法是将 51B 的 n-gram embedding 表存放在 NVMe 上Run Qwen3.8-Flash-Next (180B) on a single DGX Spark by keeping its 51B n-gram embedding table on NVMe
ICLR 2026 Oral 论文 "Q-RAG: Long Context Multi-Step Retrieval via Value-Based Embedder Training" 的官方仓库。Official repository for the ICLR 2026 Oral Paper🔥 “Q-RAG: Long Context Multi-Step Retrieval via Value-Based Embedder Training”
SPY put-credit 验证与真金白银的 control plane，具备券商账本支持、确定性 risk gates、hybrid RAG、对账及每月 $1k 税后收益证据追踪。SPY put-credit validation and real-money control plane with broker-backed ledgers, deterministic risk gates, hybrid RAG, reconciliation, and $1k/mo after-tax evidence tracking.
Bango 是一款跨平台桌面应用，可自动化并加速系统文献综述、范围综述与元分析中的筛选阶段Bango is a cross-platform desktop application that automates and accelerates the screening phase of systematic literature reviews, scoping reviews, and meta-analyses.
RAG 管道的回归测试与配置扫描，附带统计学指标以判断变更是否真正带来改进。Regression testing and configuration sweeps for RAG pipelines, with the statistics to know whether a change actually helped.
面向 Node.js 与 TypeScript 的 AI firewall。阻止 prompt injection、音频幻觉与 RAG 数据爬取。零依赖。MIT 许可。AI firewall for Node.js & TypeScript. Stop prompt injection, audio hallucinations, and RAG data scraping. Zero dependencies. MIT
动态 README，包含 AI 生成的 SCP 基金会与 Wikipedia 随机文章摘要。A dynamic README with AI-generated summaries of random articles from the SCP Foundation and Wikipedia.
金融与生活交易学习 RAG 与 QuantConnect LEAN 回测工作流（FastAPI、Qdrant、pgvector、Docker）。금융·생활거래 학습 RAG와 QuantConnect LEAN 백테스트 워크플로우 (FastAPI, Qdrant, pgvector, Docker)