This article introduces us to extra capabilities enabled by pgvector. It covers the concepts of vector similarity and embeddings, and provides guidance on how to enable the pgvector extension. We ...
In the k-ANN search workflow, modern vector indexes can achieve high search performance under static or dynamic workloads. However, search results are often scattered across multiple physical blocks, ...
MSVBASE is a new system capable of efficiently serving complex online queries that involve both approximate similarity search and relational operators on scalar and vector data-sets. MSVBASE builds a ...
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