AI has exploded the amount of vector data being generated. Getting performance can be uncertain, until you know the keys. Chris explains the three basics you need to get performance out of vector data with Postgres.
These are great sample PostgreSQL functions withs some bonus tips on using pg_stat_user_functions to look at recursion.
Chris has some sample code for synching data from Postgres to MongoDB using Foreign Data Wrappers and Triggers.
Chris has some tips for working with Ruby on Rails and ActiveRecord and using better SQL to improve performance and avoid N+1 queries.
Craig gives us an introduction to working with Postgres in expanded contexts like analytics, metrics, log storage, and event data.
Catch the Crunchy Data team in action by attending a presentation or stop by our booth at events across North American and Europe in 2023.
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