Vespa Platform for Generative AI and Data Discovery

This document is a technical report that outlines the capabilities and advantages of the Vespa platform in the context of generative AI (GenAI) and data discovery. It describes how organizations adopting GenAI technologies have reported significant benefits, including enhancements in customer experience and operational efficiency. The report details the role of Retrieval Augmented Generation (RAG) in improving GenAI models by incorporating internal data. It explains the challenges organizations face in integrating advanced technologies, particularly concerning privacy, accuracy, and scalability. The document further discusses the importance of vector embeddings for semantic search and how Vespa facilitates the integration of various data types to optimize search results. Additionally, it presents a case study on the Singapore government's use of Vespa for enhancing search capabilities in their parliamentary debates archive. The report concludes with insights into the operational advantages of Vespa Cloud as a managed solution for enterprise-scale applications.