Scaling Vector Search
Avthar discusses the challenges of scaling vector search in AI applications, highlighting the limitations of PGvector when handling large datasets. He introduces PGvector Scale, an extension designed to enhance performance through advanced indexing and compression techniques, effectively removing the bottlenecks developers face. This innovation allows for greater scalability, enabling applications to support extensive knowledge bases without compromising speed.In this clip
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How to Build Smarter AI Applications with PostgreSQL
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