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As well as heavy LLM use, we're also using vectors (with pgvector) for searching text content which is displayed in a table. Works very well.

What is unique about your data or use case that makes a vector database a good choice compared to more traditional storage methods?

I want to search based on semantic meaning, rather than partial or exact keyword search.

I'm using pgvector within postgres, so I get all of the postgres benefits.