ttguy0707/IRIS
IRIS 是一个基于 Agentic Workflow（智能体工作流）的自动化深度调研与报告生成系统。它摒弃了传统的单向 RAG 问答模式，通过构建多节点状态机（State Machine），实现了从意图识别、路径规划、动态检索（混合/本地）、深度撰写到自我审查与局部修改的全自动闭环。
This system helps professionals conducting in-depth research by automating the entire process of gathering information and generating comprehensive reports. You provide your research topic or questions, and it outputs a detailed report, complete with formatted text, mathematical formulas, and charts. It's designed for anyone who needs to produce well-researched documents without spending hours on manual data collection and writing.
Use this if you frequently need to generate detailed research reports on various topics and want to automate the information gathering, writing, and review process.
Not ideal if you need a simple, single-question answer or if your research requires highly specialized, nuanced human interpretation beyond publicly available information.
Stars
30
Forks
4
Language
Python
License
—
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/ttguy0707/IRIS"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
deepsense-ai/ragbits
Building blocks for rapid development of GenAI applications
infiniflow/ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses...
GiovanniPasq/agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
truefoundry/cognita
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications...
vectara/py-vectara-agentic
A python library for creating AI assistants with Vectara, using Agentic RAG