sfoteini/vector-search-azure-cosmos-db-postgresql

This sample shows how to build vector similarity search on Azure Cosmos DB for PostgreSQL using the pgvector extension and the multi-modal embeddings APIs of Azure AI Vision.

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This project helps art curators, researchers, or archivists quickly find similar paintings within large digital art collections. You input an image or a text description, and it outputs visually or semantically similar artworks. It's designed for anyone managing or exploring extensive visual datasets who needs an advanced search capability.

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Use this if you need to build a system that can find similar images from a large collection based on visual content or descriptive text.

Not ideal if you are looking for a ready-to-use application with a graphical user interface or if you don't want to manage Azure cloud resources.

art-curation image-retrieval digital-archives visual-search collection-management
Stale 6m No Package No Dependents
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Maturity 16 / 25
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Language

Jupyter Notebook

License

MIT

Last pushed

Jul 13, 2024

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