8th of January at 16h00, Rafael Pereira (Critical Software) and Francisco Giro (Critical Software) will give a presentation entitled“Retrieval Augmented Generation for Private Data”
Location: G4.1
Abstract
Critical Software provides third-line support for major projects, requiring access to data from sources like Confluence, JIRA, and documentation. Locating relevant information is difficult, especially as team members change over time. To address this, we developed a virtual assistant with a Large Language Model (LLM) using Retrieval Augmented Generation (RAG). The assistant integrates diverse data sources, ensures data confidentiality, and adapts to different projects. It combines VectorRAG and GraphRAG for accurate and contextual responses. Our work also includes Open-Source Software contributions to LangChain, enhancing tools for building LLM-powered applications.
Bio
Rafael Pereira is a passionate software engineer with a Master’s degree in Computer Science from Polytechnic University of Leiria. His research focuses on emotion detection through computer vision, with several published scientific papers exploring innovative approaches such as deep learning and pose estimation for real-time emotion analysis. At Critical Software, he is actively involved in different initiatives aimed at promoting the adoption and integration of AI within the company.
Francisco Giro is a Software Engineer with a Master’s degree in Computer Science from Instituto Superior Técnico (IST), Lisbon. With nearly two years of experience at Critical Software, he specializes in Java development and collaborated on an AI initiative within the company, applying innovative approaches to research and development.
