Lakebase and PG Vector: Vector Search of the Future?
Summary
The video demonstrates how to implement vector search using Lakebase and PG Vector within Databricks, focusing on two patterns: Lakebase native and reverse ETL from the lakehouse. It walks through setting up a maintenance co-pilot application that leverages PG Vector for semantic search, joins, and filtering on maintenance logs, showcasing the process from data embedding to app deployment and job scheduling for continuous updates.
Summary generated by brickster.ai from the video transcript.
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