Pinecone Vector Database with Marek Galovic


An embedding is an idea in machine studying that refers to a specific 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 resolve this downside.

Pinecone has developed one of the crucial 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 group. He joins the podcast at present to speak about how vector embeddings are created, engineering a vector database, unsolved challenges within the house, and extra.

Sean’s been a tutorial, startup founder, and Googler. He has revealed works masking 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 possibly can join with Sean on Twitter @seanfalconer.

 

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