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Building More Scalable GenAI Applications for Startups and Developers
In this TechCrunch Sessions: AI event, Oracle shares a rundown of how MySQL HeatWave empowers you in building AI-based solutions in areas such as personal productivity, automating workflows for compliance, service, or support, and increasing efficiencies in healthcare, among others. By leveraging HeatWave’s built-in vector store, in-database LLMs, in-database machine learning capabilities, and massively parallel […]
In this TechCrunch Sessions: AI event, Oracle shares a rundown of how MySQL HeatWave empowers you in building AI-based solutions in areas such as personal productivity, automating workflows for compliance, service, or support, and increasing efficiencies in healthcare, among others. By leveraging HeatWave’s built-in vector store, in-database LLMs, in-database machine learning capabilities, and massively parallel processing architecture, teams can develop richer GenAI applications that incorporate real-time data, advanced personalization, and complex retrieval-augmented generation techniques without the need for separate, specialized databases or complex ETL processes. This approach simplifies the GenAI development stack, accelerates time-to-market, and allows startups and developers to focus on innovation rather than infrastructure management, ultimately enabling the creation of more powerful, responsive, and scalable GenAI solutions.
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