LaborAI: agentes para geração automatizada de documentos em processos de licitação

Abstract

This research project aims to develop a prototype system for the automated generation of documents in public procurement processes, focusing on the Terms of Reference and the Preliminary Technical Study, based on the guidelines of Brazilian Law 14.133/2021. The application, called LaborAI, was developed using React and Vite on the front-end, NestJS on the back-end, Supabase with PostgreSQL and pgvector as data infrastructure, and LangChain.js with LangGraph for the creation and orchestration of artificial intelligence agents. The architecture follows the client-server model with REST API, integrated with a knowledge base built using the RAG (Retrieval-Augmented Generation) technique, consisting of 522 indexed excerpts from Law 14.133/2021 and real procurement documents used in municipalities. The research is applied and exploratory-descriptive in nature, proposing a technological solution that guides civil servants through a structured conversation until the final document is generated in DOCX format. The system aims to assist in reducing errors, standardizing documents and decreasing repetitive data entry across multiple documents, without replacing subsequent technical and legal review. The results obtained reinforce the technical feasibility of using conversational agents in the context of public procurement, highlighting the potential of artificial intelligence in the modernization and efficiency of public administration.