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 info. Embeddings are designed to make knowledge consumable by ML fashions.

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

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

Sean’s been an educational, startup founder, and Googler. He has revealed works masking a variety of matters from info visualization to quantum computing. At the moment, 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 possibly can join with Sean on Twitter @seanfalconer.


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