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arXiv · 2412.17942

Contrato360 2.0: A Document and Database-Driven Question-Answer System using Large Language Models and Agents

Antony Seabra·Claudio Cavalcante·Joao Nepomuceno·Lucas Lago·Nicolaas Ruberg·Sergio Lifschitz
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Abstract

We present a question-and-answer (Q\&A) application designed to support the contract management process by leveraging combined information from contract documents (PDFs) and data retrieved from contract management systems (database). This data is processed by a large language model (LLM) to provide precise and relevant answers. The accuracy of these responses is further enhanced through the use of Retrieval-Augmented Generation (RAG), text-to-SQL techniques, and agents that dynamically orchestrate the workflow. These techniques eliminate the need to retrain the language model. Additionally, we employed Prompt Engineering to fine-tune the focus of responses. Our findings demonstrate that this multi-agent orchestration and combination of techniques significantly improve the relevance and accuracy of the answers, offering a promising direction for future information systems.

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Antony Seabra, Claudio Cavalcante, Joao Nepomuceno, Lucas Lago, Nicolaas Ruberg, Sergio Lifschitz. 2024-12-23. Contrato360 2.0: A Document and Database-Driven Question-Answer System using Large Language Models and Agents. https://arxiv.org/abs/2412.17942

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