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HomeSoftware EngineeringPinecone Vector Database with Marek Galovic

Pinecone Vector Database with Marek Galovic


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

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

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

Marek Galovic is a software program engineer at Pinecone and works on the core database staff. He joins the podcast immediately 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 revealed works protecting a variety of subjects from data visualization to quantum computing. At present, Sean is Head of Advertising and marketing 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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