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A multi-agent research generation system built with LangChain, LangGraph, and GPT-4o-mini, enabling a fully automated workflow for searching, scraping, writing, and reviewing
Section 01
A multi-agent research generation system built with LangChain, LangGraph, and GPT-4o-mini, enabling a fully automated workflow for searching, scraping, writing, and reviewing
Section 02
ResearchMind is an advanced multi-agent generative AI research assistant that can autonomously perform web research, content extraction, report generation, and AI-based report evaluation. This system demonstrates how multiple AI agents collaborate in a pipeline to automatically solve complex research tasks.
Section 03
The system is built on a series of modern AI engineering technologies and frameworks:
Section 04
ResearchMind adopts a pipeline-based agent collaboration architecture, where each agent is responsible for a specific task phase:
Section 05
The Search Agent uses the Tavily API for web searches to obtain the latest and reliable information. The system implements an intelligent caching mechanism to reduce repeated API calls and improve response efficiency.
Section 06
The Reader Agent is responsible for web page content scraping and parsing. It uses a multi-strategy scraping scheme:
Section 07
The Writer Agent uses GPT-4o-mini to generate structured research reports, including:
Section 08
The Critic Agent evaluates the quality of the generated report, providing:
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