How to Optimize Your Databases for Maximum Performance

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Roxanne Jones: What we're talking about is exactly what I had hoped we would talk about in this episode because your blog posts were so practical. In terms of how you think about the infrastructure that you work with day to day, would you recommend trying out a vector solution? And then kind of optimize as you hit a wall or is there danger in kind of trying to make that put a square peg in a round hole sort of thing and get yourself in trouble? She says it's going to take a fair amount of time before incumbent vendors are able to optimize their offerings to point that perform as well as purpose-built vendors.

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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