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COYO-700M: Large-scale Image-Text Pair Dataset
✨✨Latest Advances on Multimodal Large Language Models
A Survey on Multimodal Retrieval-Augmented Generation
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A comprehensive survey of Composed Multi-modal Retrieval (CMR), including Composed Image Retrieval (CIR) and Composed Video Retrieval (CVR), etc.
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with C…
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
An open source, modular, lightweight, and extensible RAG application stack, designed for anyone and everyone.
Spec-driven development (SDD) for AI coding assistants.
Implementation of all RAG techniques in a simpler way（以简单的方式实现所有 RAG 技术）
全网最详细的 Claude Code 源码解读 V2 | 20篇200+节 | 51万行TypeScript源码深度解析 | 图文并茂 | 零基础友好 | VitePress构建 | 支持在线/PDF/HTML阅读
Lightweight, open-source AI agent for your tools, chats, and workflows.
微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。
Paper-Agent 是一个面向科研人员和学生的智能论文检索与调研工具。项目基于多智能体协作架构（AutoGen + LangGraph），通过自然语言处理（NLP）、自动化搜索和知识库构建，帮助用户高效查找学术论文、分析文献内容，并进行论文调研。Paper-Agent 支持多平台集成、关键词搜索、自动分析、论文调研，提升了学术研究的效率。适用于论文写作、学术调研、科研项目管理等多种场景，…
An open-source RAG-based tool for chatting with your documents.
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
An autonomous agent that conducts deep research on any data using any LLM providers
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
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
拼好RAG：手搓并融合了GraphRAG、LightRAG、Neo4j-llm-graph-builder进行知识图谱构建以及搜索；整合DeepSearch技术实现私域RAG的推理；自制针对GraphRAG的评估框架| Integrate GraphRAG, LightRAG, and Neo4j-llm-graph-builder for knowledge graph construct…
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
编程导航 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 Ja…
结合知识库、知识图谱管理的 多租户 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.
[WWW‘26 Oral🔥] DeepAgent: A General Reasoning Agent with Scalable Toolsets
This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.
SCADA HMI for substations and automation applications.
Your Home Digital Twin: aka floor3d-card. Visualize Home Assistant state and perform actions using objects in a 3D home model based on Three.js.
Production-ready platform for agentic workflow development.