A new storage engine for vectors

Ram Sriharsha on a new vector store built with the Rust programming language.


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Ram Sriharsha is VP of Engineering and R&D at Pinecone, a startup that offers a fully managed vector database (not just an index). While vector databases are used for recommendation, anomaly detection, and Q&A systems, they primarily target search and information retrieval applications. If your organization is using AI, chances are you have embeddings. In some sense, vector databases are what you get when you embed your entire database. (For more on Vector Databases, see our recent primer.)   In this episode, we discuss Pinecone’s new proprietary storage engine, which was first described around the time we recorded this conversation.

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Image: Some recent Vector Databases and Libraries.

 

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[Image: Embeddings by Ben Lorica, using images from Infogram.]