LangChat 是Java&LangChain4j生态的开源 AI Agent 应用平台，支持多模型、Agent、知识库 RAG、Skills、MCP 与智能问数。

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

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 98+ document formats using streaming parsers and built-in OCR.

Backend library for conversational AI in biomedicine

https://arxiv.org/abs/2606.28344. The end of web parsing. The beginning of scalable pixel-native search. link: https://pixelrag.ai/

Your First LLM-Wiki Conversation Knowledge Base

Gemini PDF Chatbot: A Streamlit-based application powered by the Gemini conversational AI model. Upload multiple PDF files, extract text, and engage in natural language conversations to receive detailed responses based on the document context. Enhance your interaction with PDF documents using this intuitive and intelligent chatbot.

A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.

TurboOCR, >200 img/s OmnidocBench. TensorRT FP16, PP-OCRv6, HTTP + gRPC

RAG Time: A 5-week Learning Journey to Mastering RAG

Context Graph for AI Native SDLC

[KDD 2026] MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation

HelixDB is an OLTP graph database with native vector and full-text search built in Rust on Object Storage.

KSoR (Knowledge System of Record) is an open-source SDK for building governed, authoritative knowledge systems for humans and AI agents. It is a foundation of an AI-native knowledge platform.

Hivemind turns your traces into reusable skills across agents

An agentic framework that helps developers build resilient agentic systems

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

🍽️基于图RAG技术的AI美食推荐助手 - Datawhale all-in-rag教程实战案例，集成Neo4j图数据库、Milvus向量检索与智能对话系统

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Agentic RAG to achieve human like reasoning