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Pinecone Vector Database with Marek Galovic


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

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

Pinecone has developed one of the crucial distinguished vector databases that’s extensively used for ML and AI purposes.

Marek Galovic is a software program engineer at Pinecone and works on the core database crew. He joins the podcast as we speak to speak about how vector embeddings are created, engineering a vector database, unsolved challenges within the area, and extra.

rectangle 3 3 2Sean’s been a tutorial, startup founder, and Googler. He has printed works protecting a variety of matters 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’ll be able to join with Sean on Twitter @seanfalconer.

 

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