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· 4 min read
Duncan Blythe
Timo Hagenow

In step-by-step tutorial we will show how to leverage MongoDB Atlas Vector Search with SuperDuperDB, including the generation of vector embeddings. Learn how to connect embedding APIs such as OpenAI or use embedding models for example from HuggingFace with MongoDB Atlas with simple Python commands.


SuperDuperDB makes it very easy to set up multimodal vector search with different file types (text, image, audio, video, and more).

Install superduperdb Python package

Using vector-search with SuperDuperDB on MongoDB requires only one simple python package install: