What are you using Vector Databases for?
Recently, more and more people have been using vector databases for in-memory for LLMs. I think semantic search can be very versatile, and I'm curious about which other use cases people are using them.
To search the best movie for me to watch
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.
A reverse image search where I look for similar images by transforming images to a dense vector set by a finetuned triplet loss model.
Building mixture of experts datasets of multimodal embeddings.
Specifically on the Australian power grid at the moment, but more generally on a diverse array of topics.
Anywhere you have data with high dimensionality. E.g. gene expression datasets.
No using any vector databases at the moment