Generate, Store, and Index Vector Embeddings with Google Cloud and MongoDB Atlas
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Join MongoDB TV Cloud Connect for a practical hands-on guide on how to generate vector embeddings with Google Cloud’s textembedding-gecko model and store, index, and search them with MongoDB Atlas. Vector embeddings are an indispensable part of many AI-powered apps nowadays. Developer Advocates Stanimira Vlaeva and Shane McAllister will discuss the basics of vector embeddings and what challenges come with storing them in an operational database.