There are 37 databases that now support vector search - we counted (vdbs.superlinked.com)! Let’s talk about the emerging ecosystem around vector embeddings and why you might want to make your next analytics project vector-powered.
Working with vectors requires ETL, ML modeling and domain expertise - a lot to cover in a short talk - my goal is to lay out the building blocks and give you pointers for diving deeper.
And finally, I’ll introduce you to Superlinked - our open source compute framework for turning complex data into vectors and building vector powered software.
Check it out at https://github.com/superlinked/superl...