Pinecone Vector Database with Marek Galovic

An embedding is an idea in machine studying that refers to a selected illustration of textual content, photos, audio, or different data. Embeddings are designed to make information consumable by ML fashions.

Nonetheless, storing embeddings presents a problem to conventional databases. Vector databases are designed to unravel this downside.

Pinecone has developed some of the outstanding vector databases that’s broadly used for ML and AI functions.

Marek Galovic is a software program engineer at Pinecone and works on the core database workforce. He joins the podcast in the present day to speak about how vector embeddings are created, engineering a vector database, unsolved challenges within the house, and extra.

Sean’s been an instructional, startup founder, and Googler. He has printed works masking a variety of subjects from data visualization to quantum computing. At the moment, Sean is Head of Advertising and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privateness and safety engineering. You may join with Sean on Twitter @seanfalconer.


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