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Podcast: Software Engineering Daily
Episode: Pinecone Vector Database with Marek Galovic
Description: An embedding is a concept in machine learning that refers to a particular representation of text, images, audio, or other information. Embeddings are designed to make data consumable by ML models.However, storing embeddings presents a challenge to traditional databases. Vector databases are designed to solve this problem.Pinecone has developed one of the most prominent vector databases that is widely used for ML and AI applications.Marek Galovic is a software engineer at Pinecone and works on the core database team. He joins...