Comments (2)
Hi @lucasgadams, thanks for the suggestion. I thought max_inner_product
was better since the function is used for maximum inner product search. I'd like to keep the current name for now, but may revisit / add an alias in the future.
from pgvector-python.
I'm not sure that really makes sense? Maximum inner product search is when you are trying to maximize the inner product between similar items (its a similarity metric). Here the function is actually the opposite, its a sort of inner product distance (negative inner product). And I don't think you need use MIPS or the word max to explain the utility for inner product, it's ubiquitous in ML as a measure of similarity (i've worked in ml for 10 years and have never heard the specific phrase MIPS). I'd argue the reason why most people are using inner product comparison in the first place is they are actually doing cosine similarity and have already normalized vectors (such as openai). I see that you are the author or the original pgvector so I assume you know all this already. Just my 2 cents.
from pgvector-python.
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from pgvector-python.