[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

🔍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/

Open Source AI Platform - AI Chat with advanced features that works with every LLM

An open source, privacy focused alternative to NotebookLM for teams with no data limits. Join our Discord: https://discord.gg/ejRNvftDp9

Curated list of the best truly open-source AI projects, models, tools, and infrastructure.

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.

A modular graph-based Retrieval-Augmented Generation (RAG) system

LlamaIndex is the leading document agent and OCR platform

📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

open-source agentic AI data assistant for the next generation of AI + Data products.

Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data sources, that helps you build agentic GenBI, text-to-sql, dashboards, and agentic analytics.

High accuracy RAG for answering questions from scientific documents with citations

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

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.

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.