Pinecone Vector Database with Marek Galovic

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

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Technical interviews about software topics.