Pinecone CEO Edo Liberty: New Vector Database Speeds ML Development

<p><a href="https://www.pinecone.io/">Pinecone Systems' </a>new vector database provide similarity search as a  cloud service. Use cases include recommendations, personalization, image search, and deduplication of records. </p><p>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.</p><p>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. </p><p>Pinecone Systems’ lead investor was also an early investor in Snowflake, and the similarities don’t stop there. </p>