AlloyDB
AlloyDB AI Overview
AlloyDB AI is an integrated set of capabilities built into AlloyDB for PostgreSQL, designed to help developers build performant and scalable generative AI applications using their operational data. It provides built-in, end-to-end support for vector embeddings, allowing users to easily transform their data into vector embeddings with a simple SQL function. AlloyDB AI also offers enhanced vector support with up to 10x faster vector queries than standard PostgreSQL. It is now in preview via downloadable AlloyDB Omni and will be launched later this year on the AlloyDB managed service.
AlloyDB AI Highlights
- AlloyDB AI introduces a simple PostgreSQL function to generate embeddings on your data, providing easy embeddings generation.
- It offers enhanced vector support with up to 10x faster vector queries than standard PostgreSQL, thanks to tight integrations with the AlloyDB query processing engine.
- AlloyDB AI provides integrations with the AI ecosystem, including Vertex AI Extensions and LangChain, offering an end-to-end solution for building generative AI applications.
Use Cases
A business analyst in a large retail company uses AlloyDB AI to transform their massive operational data into vector embeddings using the simple SQL function. This allows them to perform complex data analysis tasks more efficiently and accurately.
The analyst is able to generate insights from the data faster and more accurately, leading to better business decisions. The company also benefits from the 10x faster vector queries, which significantly reduces the time spent on data analysis.
A software development company uses AlloyDB AI to build a generative AI application. They take advantage of the integrations with the AI ecosystem, including Vertex AI Extensions and LangChain, to build a robust and scalable application.
The company is able to build a high-performing generative AI application that meets their clients' needs. The application is scalable and can handle large amounts of data, thanks to the enhanced vector support provided by AlloyDB AI.
A database administrator in a tech company uses AlloyDB AI to improve the performance of their PostgreSQL database. They use the enhanced vector support to speed up vector queries, resulting in a more efficient and performant database.
The database performance is significantly improved, leading to faster query times and a more efficient system. This results in increased productivity and cost savings for the company.