How to Generate Sentence Embeddings on Vectors

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Many people are familiar with sentence transformers. It's available on Harging phase and a bunch of other open-source platforms. There are certain database vendors who offer convenience features on top of that, where they embed the API of these models inside their own offering. So if you're just getting started and you don't know much about how vectors work or how, you know, in a lens work or any of these things, that might be something to consider.

There’s so much talk (and hype) these days about vector databases. We thought it would be timely and practical to have someone on the show that has been hands on with the various options and actually tried to build applications leveraging vector search. Prashanth Rao is a real practitioner that has spent and huge amount of time exploring the expanding set of vector database offerings. After introducing vector database and giving us a mental model of how they fit in with other datastores, Prashanth digs into the trade offs as related to indices, hosting options, embedding vs. query optimization, and more.

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