Pinecone CEO Edo Liberty: New Vector Database Speeds ML Development
Cloud Database Report Podcast
English - June 07, 2021 15:00 - 32 minutesTechnology Business Management data business technology cloud cloud wars database Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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Pinecone Systems' new vector database provide similarity search as a cloud service. Use cases include recommendations, personalization, image search, and deduplication of records.
A vector, or vector embedding, is a string of numbers that represents documents, images, or other data. Vectors are used in the development of machine learning applications. A vector database stores, searches, and retrieves the representations by similarity or by relevance.
Pinecone’s vector database is accessed through an API. Early adopters range from startups to large companies with machine learning initiatives that need to scale.
Pinecone Systems’ lead investor was also an early investor in Snowflake, and the similarities don’t stop there.
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