On September 15, 2021, Lindsay Clark from The Register spoke with Amalgam Insights’ CEO and Chief Analyst, Hyoun Park, for the article, Vector database Pinecone promises to bring ML data management under control with 2.0 release.
Hyoun Park, chief analyst at Amalgam Insights, said that as machine and deep learning increasingly become normal business capabilities, organisations will hit performance limitations in standard relational databases.
For those starting from scratch building an ML architecture, it would be an advantage to start on appropriately designed databases.
“Vector-based search is an important aspect to consider,” he said, “as it allows for better context, more human language usage, and better alignment of graphic and audio binaries with existing semantic taxonomies.
“From a practical perspective, vector-based search helps companies to better align complex text, speech, pictures, videos, and sounds to existing business departments, categories, and goals.”
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