The AI research agent scienceOS is built to streamline scientific workflows by autonomously accessing and synthesizing information from a vast database of over 225 million research papers, offering in-text citations and an intuitive chat interface that feels like collaborating with a knowledgeable colleague.
It employs an LLM-based agent framework that intelligently interprets user queries, generates database-compatible search requests, and prioritizes reliable, high-impact sources through advanced ranking algorithms and citation networks.
This new tutorial explains how this framework operates under the hood, providing scientists with practical guidance on leveraging scienceOS’s capabilities to accelerate literature reviews, draft outlines, and conduct critical assessments.
Read the full tutorial: How does scienceOS work.
