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A multi-agent research assistant that supports PDF paper uploads and complex question answering, providing structured, evidence-based answers via RAG, LangGraph, and Google Gemini.
Section 01
A multi-agent research assistant that supports PDF paper uploads and complex question answering, providing structured, evidence-based answers via RAG, LangGraph, and Google Gemini.
Section 02
Section 03
ResearchGenAI is a multi-agent research assistant that allows users to upload PDF papers, ask complex questions, and receive structured, evidence-based answers powered by RAG (Retrieval-Augmented Generation), LangGraph, and Google Gemini.
This project addresses a practical pain point in academic research: when faced with research papers of dozens or even hundreds of pages, how to quickly extract key information, compare different methods, and understand experimental results? Traditional keyword searches often fail to meet the needs of such deep understanding. ResearchGenAI simulates the process of human researchers analyzing literature through multi-agent collaboration.
Section 04
Supports PDF paper uploads, uses ChromaDB vector storage, and adopts a table-aware chunking strategy. This means the system can recognize table structures in papers and preserve the contextual relationships of table data during processing.
Section 05
The system automatically judges the complexity of the question:
This design ensures the response speed for simple queries while reserving sufficient computing resources for complex analysis.
Section 06
The framework designs three core agents to work collaboratively:
The entire process supports a retry loop to ensure output quality.
Section 07
Decomposes complex questions into sub-queries from multiple perspectives such as theory, architecture, and experiments, retrieves relevant information from different dimensions, and improves recall rate.
Section 08
The Critic agent uses a checklist for needs-aware evaluation, checking whether it includes experimental evidence, architectural details, theoretical basis, etc.
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