A new storage engine for vectors

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

SubscribeApple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • RSS.

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.

Subscribe to the Gradient Flow Newsletter.

Image: Some recent Vector Databases and Libraries.

Ram Sriharsha will be speaking at the AI Conference in San Francisco (Sep 26-27). Use the discount code FriendsofBen18 to save 18% on your registration.

Highlights in the video version:


Related content:

If you enjoyed this episode, please support our work by encouraging your friends and colleagues to subscribe to our newsletter:

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