2 papers
cs.AI2024
Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models
Antony Seabra, Claudio Cavalcante, Joao Nepomuceno +3
We propose a methodology that combines several advanced techniques in Large Language Model (LLM) retrieval to support the development of robust, multi-source question-answer system…
cs.AI2024
Contrato360 2.0: A Document and Database-Driven Question-Answer System using Large Language Models and Agents
Antony Seabra, Claudio Cavalcante, Joao Nepomuceno +3
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 r…