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Does anyone know how to combine vector similarity search with more conventional field-based search (using elasticsearch for example)? For example, given a set of labeled images, a user should be able to compose a query using a combination of filters (like size or description) along with a reference image (the vector).


We are working on this feature which allows use to perform hyper search (attributes plus feature vectors). And you can code your scoring rules.

Again, hopefully be ready by the end of 1Q this year.



I think could also try the partition feature.




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