#大语言模型#RAGFlow 是一款基于深度文档理解构建的开源 RAG(Retrieval-Augmented Generation)引擎
#大语言模型#A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
#大语言模型#DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
#大语言模型#Google ADK (智能体开发工具包) 旨在让智能体开发更接近软件开发体验,使开发者能更轻松地创建、部署和编排从简单任务到复杂工作流的多智能体架构
#面试#This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
#大语言模型#LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
#大语言模型#CTTF: MCP integration between Cursor AI and Figma, allowing Cursor to communicate with Figma like agentic ai for reading designs and modifying them programmatically.
The easiest way to use Agentic RAG in any enterprise
#大语言模型#A model-driven approach to building AI agents in just a few lines of code.
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach.
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
Low code tool to rapidly build and coordinate multi-agent teams
#大语言模型#Autonomous Agents (LLMs) research papers. Updated Daily.
TypeScript AI AI Function Calling Framework enhanced by compiler skills.
#大语言模型#Hexabot is an open-source AI chatbot / agent builder. It allows you to create and manage multi-channel and multilingual chatbots / agents with ease.
Windows Agent Arena (WAA) 🪟 is a scalable OS platform for testing and benchmarking of multi-modal AI agents.