MoMoM101/RAG-ReActAgent🔥 active
RAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning
校园知识服务 Agent 智能体平台:基于 FastAPI、Qwen3 与 RAG,贯通公开资料解析、时间范围检索、证据溯源及人工审核。
$ git clone https://github.com/2430816465/campus-knowledge-agent.gitRAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning
AI-powered virtual executive team — a single coherent executive persona backed by 8 specialist agents (FastAPI + Next.js).
MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)
A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.
▲ +4 ★ this week
动手学Ollama,CPU玩转大模型部署,在线阅读地址:https://datawhalechina.github.io/handy-ollama/
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
Data from GitHub · snapshot Nov 13, 2026