Submitted by mostlyhydrogen t3_10rvkru in MachineLearning
mostlyhydrogen OP t1_j724ctr wrote
Reply to comment by RingoCatKeeper in [D] Querying with multiple vectors during embedding nearest neighbor search? by mostlyhydrogen
That was an interesting read, but I don't think it solves my problem. Their examples don't show joint vector searches: https://github.com/google-research/google-research/blob/master/scann/docs/example.ipynb
RingoCatKeeper t1_j79vmlw wrote
See the section "ScaNN interface features", you will find that you could search queries with batch, may this similar with your problem?
mostlyhydrogen OP t1_j7fxwyx wrote
>ScaNN interface features
Nope. Notice that the results have shape (10000, 20) instead of (20,). That is just doing a batched query i.e. "for each of these 10k input vectors, find me 20 neighbors". What I need is a joint query, i.e. "given these 10k positive examples, give me an additional 20 candidate samples".
RingoCatKeeper t1_j7hklu4 wrote
Sorry I miss understood. You're right.
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