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LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
Python tool for converting files and office documents to Markdown.
An open-source RAG-based tool for chatting with your documents.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Create beautiful slides on the web using Claude's frontend skills
🌈 React for interactive command-line apps
Minimal Claude Code alternative. Single Python file, zero dependencies, ~250 lines.
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
结合知识库管理的 多租户 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain v1 + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Trade autonomously on Polymarket using AI Agents
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
🔍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/
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
A markup-based typesetting system that is powerful and easy to learn.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
Chronos: Pretrained Models for Time Series Forecasting
A collaborative note taking, wiki and documentation platform that scales. Built with Django and React.
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

