When using the “Atlas Vector Search” the embedding refers to a vector (array of floats) created using AI models. This must be created using an embedding model from OpenAI, Cohere, or open-source models available on huggingFace (Building Generative AI Applications Using MongoDB: Harnessing the Power of Atlas Vector Search and Open Source Models | MongoDB), others. MTEB leaderboard shows the various embedding models available.
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