Projects and tools focused on retrieval-augmented generation models.
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
A modular graph-based Retrieval-Augmented Generation (RAG) system
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Build Real-Time Knowledge Graphs for AI Agents
Chinese Buddhist Master-skill powered by FoJin — 基于佛教经典文献的汉传祖师大德教学角色生成器
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.
All-in-one terminal workspace — local shells, SSH, SFTP, remote IDE, AI agent, and file manager in a single native binary. Built with Tauri 2 and pure Rust SSH (no OpenSSL). Smart reconnect, MCP, RAG, plugins, 30+ themes, 11 languages.
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
[ICLR'26] AutoGEO: a Generative Engine Optimization framework to automatically learn generative engine preferences, and rewrite web contents for more traction.
A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.
Local-first AI conversation memory hub to capture, search, summarize, and export chats across major AI platforms. 本地优先的 AI 对话记忆与知识中台。
OasisDB: A minimal and lightweight vector database
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
High performance embedded vector database
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.
Convert and validate your Markdown, then choose the best chunking strategy for your RAG pipeline.
面向长篇小说创作的 AI Native 开源系统，用 Agent、世界观、写法引擎、RAG 和整本生产工作流，帮助新手从一句灵感走到完整小说。AI-native engine for end-to-end novel creation — from idea to full chapters, with structured planning, worldbuilding, and agent-driven workflows.
Blueprint for Ingesting massive volumes of live or archived videos and extract insights for summarization and interactive Q&A
Local AI Assistant on your phone
Buddhist Digital Text Platform — 9,200+ texts, 500+ sources, 8 UI languages, AI Q&A (RAG), knowledge graph, full-text search
一个本地优先的AI知识库系统（RAG），用于把本地文档接入辅导搜索与大模型对话流程。目前支持md、txt、pdf（文本）类型
PDF extraction that checks its own work. #2 reading order accuracy — zero AI, zero GPU, zero cost.
Build autonomous AI agents with adaptive intelligence and emergent behaviors. Multimodal RAG included.
Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库，系统性整理了与 大模型记忆（LLM Memory）与智能体记忆（Agent Memory） 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。
ChatClaw: Get OpenClaw-like knowledge base personal AI agent in 5 mins. Sandbox-secured, ultra-small 30MB installer for macOS & Windows (install in 1 min). Connects to WhatsApp, Telegram, Slack, Discord, Gmail, DingTalk, WeChat Work, QQ, Feishu. Built-in Skill Market, Knowledge Base, Memory, MCP, Scheduled Tasks. Developed in Go ,run
TreeSearch: Structure-aware document retrieval without embeddings. 毫秒检索万级文档和大型代码库，并保留文档结构。
World's first local-only AI memory to break 74% retrieval and 60% zero-LLM on LoCoMo. No cloud, no APIs, no data leaves your machine. Additionally, mode C (LLM/Cloud) - 87.7% LoCoMo. Research-backed. arXiv: 2603.14588
KUNO CMS A full-stack blog application with Go backend and Next.js frontend, containerized with Docker for easy deployment.一个i18n的CMS系统
https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成
Semantic code searcher and codebase utility
AI Agent 教学仓库 | 系统化 LangChain、RAG、LangGraph、MCP 全栈实战代码 | 万字博客详解 | 开源可运行示例 | 从零构建智能体
The Mind Palace for AI Agents — Autonomous Cognitive OS with affect-tagged memory (valence engine), token-economic RL (surprisal gate + UBI), Hebbian learning, ACT-R spreading activation, Synapse Engine (GraphRAG), adversarial evaluation (anti-sycophancy), fail-closed Dark Factory pipelines. Zero-config local mode.
A Terminal User Interface for AI collaboration on code, using a Retrieval-Augmented Generation (RAG) pipeline designed specifically for Rust code generation and refactoring.
Open Source AI Platform - AI Chat with advanced features that works with every LLM
Framework for AI Backend. Build and run AI agents like microservices - scalable, observable, and identity-aware from day one.
An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter!
Semantica 🧠 — A framework for building semantic layers, context graphs, and decision intelligence systems with explainability and provenance.
On-device AI for Android — LLM chat (GGUF/llama.cpp), vision models (VLM), image generation (Stable Diffusion), tool calling, AI personas, RAG knowledge packs, TTS/STT. Fully offline, zero subscriptions, open-source.
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
Open-source, free, multi-platform, one-click deploy, AI Agent–integrated personal bookmarking system｜完全开源、免费、多端、一键部署、AI Agent 集成的个人收藏夹系统
Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.
Nextcloud MCP Server
A Fork of Rikkahub with an overhauled UI and feature additions
On-device AI for iOS & Android
LLM驱动的 A/H/美股智能分析器：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/
Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI
基于 Spring Boot 4.0 + Java 21 + Spring AI + PostgreSQL + pgvector + RustFS + Redis，实现简历智能分析、AI模拟面试、知识库RAG检索等核心功能。非常适合作为学习和简历项目，学习门槛低。
High performance and CommonMark compliant HTML to Markdown converter. Maintained by the Kreuzberg team. Kreuzberg is a fast, polyglot document intelligence engine with a Rust core. It extracts structured data from 56+ document formats using streaming parsers and built-in OCR.
Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling
CookHero是一个基于 LLM + RAG + Agent + 多模态的智能饮食与烹饪管理平台，支持智能菜谱查询、个性化饮食计划、AI 饮食记录、营养分析、Web 搜索增强，以及可扩展的 ReAct Agent / Subagent 工具体系，帮助厨房新手轻松成为“烹饪英雄”。
基于eino+gf+vue实现知识库的rag
Official Repo of Moss
Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — with Docling document parsing, visual intelligence (image/table captioning), agentic streaming chat, and inline citations. Powered by Gemini or local Ollama models.
A modern desktop application for exploring, managing, and analyzing vector databases
qKnow is an open-source knowledge platform built around Knowledge Graphs, offering capabilities for knowledge extraction, knowledge fusion, graph construction, and visualization. It helps enterprises and organizations build structured, queryable, and inferable knowledge systems.
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
Dynamic-memory-first collaborative AI framework for long-form story generation, chapter planning, and coherent narrative writing
Home Assistant LLM integration for local OpenAI-compatible services (llamacpp, vllm, etc)
Secure AI conversations with documents, video, audio, and more. Personal workspaces for focused context, group spaces for shared insight. Classify docs, reuse prompts, and extend with modular features.
AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
Open-source AI desktop app with built-in knowledge base, MCP support, and multi-provider models like OpenAI, Gemini, Grok, and Ollama.
Template for AI chatbots & document management using Retrieval-Augmented Generation with vector search and FastAPI.
:sparkles: :dna: Turing ES - Enterprise Search, Semantic Navigation, Chatbot using Search Engine and Generative AI.
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
📚 从零开始构建大模型
✔（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
"RAG-Anything: All-in-One RAG Framework"
Knowledge Engine for AI Agent Memory in 6 lines of code
Memori is agent-native memory infrastructure. A SQL-native, LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.
[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
AI memory OS for LLM and Agent systems(moltbot,clawdbot,openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.
A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 91+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, TypeScript (Node/Bun/Wasm/Deno)- or use via CLI, REST API, or MCP server.
每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈
🔥 基于大模型和 RAG 的智能问数系统，对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML
An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance
Low-latency AI engine for mobile devices & wearables
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.
PipesHub is a fully extensible and explainable workplace AI platform for enterprise search and workflow automation
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
编程导航 2025 年 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发（Manas Java 实现）、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽，帮你成为 AI 时代企业的香饽饽，给你的简历和求职大幅增加竞争力。
ChatWiki 微信公众号的AI知识库工作流Agent平台，RAG大模型AI客服机器人，致力于成为垂直领域的coze、n8n。
制作懂人情世故的大语言模型 | 涵盖提示词工程、RAG、Agent、LLM微调教程
High-performance GraphRAG inspired from LightRag written in Rust
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
AI时代的WordPress，东半球首个积木式AI应用搭建系统，人人都可免费搭建自己的AI应用系统，例如企业智能体系统、AI漫剧系统、AI论文学术系统、AI客服系统...
Talk to your Mac, query your docs, no cloud required. On-device voice AI + RAG
Collect, organize, use, and share, all in OmniBox.
A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.
TrustRAG：The RAG Framework within Reliable input,Trusted output
基于AI的工作效率提升工具（聊天、绘画、知识库、工作流、 MCP服务市场、语音输入输出、长期记忆） | Ai-based productivity tools (Chat,Draw,RAG,Workflow,MCP marketplace, ASR,TTS, Long-term memory etc)
Local first codebase intelligence
😎 Awesome list of Retrieval-Augmented Generation (RAG) applications in Generative AI.
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.