Store embeddings in Azure Cosmos DB for PostgreSQL with pgvector

• vector-search-azure-cosmos-db-postgresql

  4 8 6.1 Jupyter Notebook

  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.

The code for uploading images to an Azure Blob Storage container can be found at data_upload/upload_images_to_blob.py.

• pgvector

  78 9,211 9.9 C

  Open-source vector similarity search for Postgres

  

The pgvector extension adds vector similarity search capabilities to your PostgreSQL database. To use the extension, you have to first create it in your database. You can install the extension, by connecting to your database and running the CREATE EXTENSION command from the psql command prompt:

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