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Best RAG Tools
RAG (retrieval-augmented generation) connects your documents and data to LLMs. Browse frameworks and platforms below, then compare top picks for stack fit.
Top tools
450 tools · sorted by quality
Flowboard — open-source infinite canvas for AI product videos. Drag nodes for model, product, scene, video — connect them, click Generate. A...
AI 课程笔记:langchain / langgraph / python / vibe coding
AI-powered Vibe Investing for NASDAQ, S&P500 & crypto: LLM quant trading tools, multi-agent backtesting, and data-driven market columns (mNA...
RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back —...
VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiab...
Build your own LLM-native WIKI (knowledge library). Search, extract, summarize, Q&A with contextual RAG, layered knowledge graph, and reinfo...
This is a repository for the course "From Beginner to LLM Developer" by Towards AI.
2026 年编程导航 AI 编程实战新项目,基于 React 19 + FastAPI + LangChain + LangGraph + Konva 的 AI 修图智能体,支持自然语言驱动修图、21 种编辑...
AI semantic search for Zotero, with a built-in MCP server for AI agents (Claude Code, Codex). Find papers by meaning. 100% local and private...
2026 年编程导航 AI 编程实战新项目,基于 Python FastAPI + LangChain + LangGraph + React 的 AI PPT 生成器,支持主题 / 长文本 / 文档多入口生成...
KnowledgeRAG-OGAS 是一个面向智能知识管理的检索增强生成(RAG)系统,集成文档解析、知识库管理、知识图谱生成、向量检索、Ollama模型服务及智能...
Lightweight graph database with relational, vector, and MCP support, designed to power knowledge and artificial intelligence persistence and...
Issue-only repo for Dropshelf, a drag and drop utility for Windows
Top Agent Swarm Simulation Tools for LLM World Modeling 2026
Q-Learning Swarm Foraging 2026: Multi-Agent RL in Dynamic Grid Environments
Heoster AI 2026: Intelligent Personal Assistant Powered by LangChain & Transformers
Comprehensive tutorials for LangChain, LangGraph, and LangSmith using Groq LLM. Learn to build advanced AI systems, from basics to productio...