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[#25807] DocDB: Support various metrics in vector indexes
Summary: PgVector and usearch support different vector distance functions. PgVector supports: Squared Euclidean/L2, Inner product, Cosine and L1 distance functions. usearch also supports: Squared Euclidean/L2, Inner product, Cosine, along with 7 other distance functions. It, however, does not support L1. So both of them supports: 1) L2Squared 2) Cosine 3) InnerProduct This diff provides support for all those metrics in ybhnsw index access method. Jira: DB-15107 Test Plan: PgVectorIndexTest.Cosine/*, PgVectorIndexTest.L2/*, PgVectorIndexTest.InnerProduct/* Reviewers: tnayak, aleksandr.ponomarenko Reviewed By: tnayak, aleksandr.ponomarenko Subscribers: yql, ybase Tags: #jenkins-ready Differential Revision: https://phorge.dev.yugabyte.com/D41586
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