Feb. 7, 2024, 6:28 p.m. | Foteini Savvidou

DEV Community dev.to

Welcome to the next part of the "Image similarity search with pgvector" learning series!


In the previous articles, you used the multi-modal embeddings APIs of Azure AI Vision for generating embeddings for a collection of images of paintings and stored the embeddings in an Azure Cosmos DB for PostgreSQL table.





Introduction


If you have followed the previous posts, you should have successfully created a table in your Azure Cosmos DB for PostgreSQL cluster, populated it with data, and uploaded the …

ai ai vision apis articles azure azure ai azure cosmos db collection cosmos embeddings image images modal multi-modal next part pgvector postgresql search searching series vectordatabase vision

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