Selecting the right vector embedding models can be hard, and even overwhelming!

In this video, Zain and JP talk about this topic, and how to make the job a little bit easier. Sure, vector embeddings and models that generate these can be complicated. But it doesn't need to be that way from a user's perspective.

This is a casual conversation filled with actionable tips, and simply explained big ideas.

They talk about what embeddings are, how to go about selecting them, where to find benchmarks, how to read those benchmarks, and even how to do your own model evaluation.

We think you'll find that many of these jobs are more approachable, and smaller than you thought they might be.

We'd love to hear your thoughts on this video! Please drop a comment below to give us your feedback and what you might like us to talk about next. :)

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