Distributed Vector Databases - What, Why, and How - Steve Pousty, VMware

Distributed Vector Databases - What, Why, and How - Steve Pousty, VMware

In the last two years, AI machine learning has exploded in prominence. One of the key concepts used in the modeling and storage of AI is vectors. Feeling like you should learn more and how you would use them in your data work? Wondering how you would run this distributed on Kubernetes? Then have I got a talk for you! We will start by explaining the concept of (embedding) vectors and how they are used in the AI life cycle. From there we will go into putting them into a database. We will cover the use cases where this technology makes sense. As opposed to an RDBMS, vector databases are more tightly focused and optimized for particular use cases. To ground this discussion in something more concrete, there will be hands-on demos throughout the talk. You will see the advantages to running distributed vector databases on Kubernetes infrastructure. Bring your favorite Kube infrastructure and leave with hands-on experience running AI infrastructure on Kubernetes.