Pgvector is an extension for PostgreSQL that introduces efficient vector storage and similarity search functionality into the database. Designed for machine learning workloads, pgvector enables users to store high-dimensional vectors and perform nearest neighbor searches with ease. The extension provides the power and flexibility of vector search while staying within the familiar, robust PostgreSQL environment. This is particularly useful for projects where vector data types and operations are necessary, but the overhead of a separate vector database isn't desired.
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Why is pgvector better on Shakudo?
Why is pgvector better on Shakudo?
Why deploy pgvector with Shakudo?
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