Scientific Paper Agent

This project implements an intelligent research assistant that helps users navigate, understand, and analyze scientific literature using LangGraph and advanced language models. By combining various academic API with sophisticated paper processing techniques, it creates a seamless experience for researchers, students, and professionals working with academic papers. NOTE: The presented workflow is not domain specific: each step in the graph can be adapted to a different domain by simply changing the prompts.

Research literature review represents a significant time investment in R&D, with studies showing that researchers spend 30-50% of their time reading, analyzing, and synthesizing academic papers. This challenge is universal across the research community. While thorough literature review is crucial for advancing science and technology, the current process remains inefficient and time-consuming. Key challenges include: - Extensive time commitment (30-50% of R&D hours) dedicated to reading and processing papers - Inefficient search processes across fragmented database ecosystems -…