EvoPat: A Multi-LLM-based Patents Summarization and Analysis Agent

TL;DR

EvoPat is an AI-powered system utilizing multiple large language models to efficiently summarize, analyze, and evaluate patents, helping researchers navigate the growing patent landscape more effectively.

Contribution

The paper introduces EvoPat, a novel multi-LLM-based patent analysis agent that integrates retrieval-augmented generation and advanced search strategies for comprehensive patent evaluation.

Findings

EvoPat outperforms GPT-4 in patent summarization tasks.

EvoPat effectively conducts comparative analysis and technical evaluation.

The system provides up-to-date insights by integrating multiple data sources.

Abstract

The rapid growth of scientific techniques and knowledge is reflected in the exponential increase in new patents filed annually. While these patents drive innovation, they also present significant burden for researchers and engineers, especially newcomers. To avoid the tedious work of navigating a vast and complex landscape to identify trends and breakthroughs, researchers urgently need efficient tools to summarize, evaluate, and contextualize patents, revealing their innovative contributions and underlying scientific principles.To address this need, we present EvoPat, a multi-LLM-based patent agent designed to assist users in analyzing patents through Retrieval-Augmented Generation (RAG) and advanced search strategies. EvoPat leverages multiple Large Language Models (LLMs), each performing specialized roles such as planning, identifying innovations, and conducting comparative evaluations. The system integrates data from local databases, including patents, literature, product catalogous, and company repositories, and online searches to provide up-to-date insights. The ability to collect information not included in original database automatically is also implemented. Through extensive testing in the natural language processing (NLP) domain, we demonstrate that EvoPat outperforms GPT-4 in tasks such as patent summarization, comparative analysis, and technical evaluation. EvoPat represents a significant step toward creating AI-powered tools that empower researchers and engineers to efficiently navigate the complexities of the patent landscape.