Academic Research Agent

The Academic Research Agent is an AI-powered tool that provides comprehensive, AI-driven search, and discovery solutions for academic research data. Leveraging the wealth of over 200 million academic papers sourced from Semantic Scholar, this agent can swiftly process numerous papers, identify the most relevant ones, and extract key information from them. By simulating the academic research process, the Academic Research Agent can answer a wide variety of academic-oriented prompts such as "What's the latest research on carbon capture technology?" or "Show me the recent advancements in ESG investing research."

Not only does the agent handle data extraction, but it also ensures the traceability of its sources. Users can easily follow up on the agent's work, delve into the original sources, and explore similar papers, thereby enabling a thorough validation of the agent's findings. For more information on data sources and methodology, please refer to the Semantic Scholar documentation.