RAG / 向量检索排行

A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL

A visual playground for agentic workflows: Iterate over your agents 10x faster

Context Graph for AI Native SDLC

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

An enterprise AI development framework for building AI agents. It provides unified management of multi-provider LLMs, secure enterprise knowledge bases with high-precision retrieval, visual workflow orchestration and multi-agent coordination. Compatible with mainstream Agent Skill standards, it enables developers to efficiently build production-gra

⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org

MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）

An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance

The open source platform for AI-native application development.

Superduper: End-to-end framework for building custom AI applications and agents.

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

Neo4j graph construction from unstructured data using LLMs

AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.

《大模型白盒子构建指南》：一个全手搓的Tiny-Universe

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation.