Oracle announced the release of HeatWave GenAI, featuring the industry’s first in-database large language models (LLMs), automated in-database vector store, scalable vector processing, and the ability to have natural language conversations based on unstructured content. These new features allow customers to leverage generative AI on their enterprise data without the need for AI expertise or moving data to a separate vector database. HeatWave GenAI is now available in all Oracle Cloud regions and at no extra cost to HeatWave users.
Developers can create a vector store for unstructured content with a single SQL command, enabling natural language searches and interactions with built-in embedding models. Data doesn’t leave the database, eliminating the need for GPUs due to HeatWave’s performance. This results in reduced application complexity, improved performance, enhanced data security, and cost savings.
HeatWave GenAI integrates with existing HeatWave capabilities like Lakehouse, Autopilot, AutoML, and MySQL, providing an intuitive way for developers to create generative AI applications quickly. This democratizes generative AI, leading to improved productivity and more complete applications.
New features include LLM in the database, automated vector store in the database, and scalable vector processing. LLM in the database simplifies generative AI application development and allows for searching, content generation, and retrieval augmented generation with the HeatWave Vector Store. The automated vector store process enables the use of generative AI with business documents within the database. Scalable vector processing delivers fast semantic search results without losing precision.
HeatWave also introduced Talk, a Visual Code plugin for MySQL Shell that offers a graphical interface for HeatWave GenAI, supporting natural language or SQL queries. Benchmarks show significant performance improvements and cost savings compared to other solutions, making HeatWave GenAI a compelling choice for enterprise workloads and data sets.
Customer and analyst feedback highlight the differentiation and democratization of generative AI offered by HeatWave GenAI, making it simple, secure, and cost-effective to use. Oracle’s collaboration with AMD enables developers to leverage the power of AI with HeatWave GenAI using AMD EPYC processors.
Overall, HeatWave GenAI marks another milestone in Oracle’s cloud offerings, providing integrated generative AI and machine learning capabilities for large-scale transactions and analytics. Oracle continues to innovate and deliver on its vision of a universal database in the cloud.
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https://www.datanami.com/this-just-in/oracles-heatwave-genai-brings-llms-and-automated-vector-store-to-databases/