Vector databases as the data foundation for generative AI applications
Explore more about vector databases, industry use cases and project considerations in this guide
About the guide
The generative AI and MLOps spaces are undergoing rapid changes: having moved
from the realm of specialist research to mainstream accessibility in just a couple
of years. But there is another key enabler behind Gen AI that is often overlooked – vector
databases.
Modern vector databases, optimised for storing and retrieving vector
representations of data, are crucial to the successful deployment of GenAI models
in production applications.
This guide focuses on vector databases as a foundational element for GenAI,
providing an introduction to their function and exploring their use cases across
financial, telecommunications, retail, e-commerce, and public sector industries.
It also highlights key considerations for starting your GenAI project and offers
insights into future trends in AI and MLOps development.
Download the guide to explore vector databases and their industry use cases.
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