AI Multi-Agent Research Assistant FAQs

Question 1

Can I track the research process live?

Accepted Answer

Yes, the system streams real-time progress updates via Server-Sent Events (SSE) to the React frontend, allowing you to monitor agent activity as it happens.

Question 2

Does it save the generated reports?

Accepted Answer

Yes, all final reports, including raw research and analysis, are automatically saved to a Supabase (Postgres) database for easy access and history tracking.

Question 3

What is the AI Multi-Agent Research Assistant?

Accepted Answer

It's an AI system that uses specialized agents (Researcher, Analyst, Writer, Reviewer) to autonomously research topics, extract insights, and generate comprehensive, polished reports.

Question 4

What key technologies power this tool?

Accepted Answer

It's built with LangGraph and LangChain for agent orchestration, leverages OpenAI LLMs, uses FastAPI for the backend, React for the frontend, and Supabase for database persistence.

Question 5

How does the system generate reports?

Accepted Answer

Users provide a topic, and agents follow a LangGraph-orchestrated pipeline to perform web searches, analyze findings, write structured Markdown reports, and self-review the content.

AI Multi-Agent Research Assistant

주요 기능

사용 사례

AI Multi-Agent Research Assistant

주요 기능

사용 사례