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vector-search-azure-cosmos-db-postgresql reviews and mentions
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Use HNSW index on Azure Cosmos DB for PostgreSQL for similarity search
In the Jupyter Notebook provided on my GitHub repository, you'll explore text-to-image and image-to-image search scenarios. You will use the same text prompts and reference images as in the Exact Nearest Neighbors search example, allowing for a comparison of the accuracy of the results.
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Use pgvector for searching images on Azure Cosmos DB for PostgreSQL
The code for image similarity search with the pgvector extension can be found at vector_search_samples/image_search.ipynb.
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Store embeddings in Azure Cosmos DB for PostgreSQL with pgvector
The code for uploading images to an Azure Blob Storage container can be found at data_upload/upload_images_to_blob.py.
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Generate embeddings with Azure AI Vision multi-modal embeddings API
In this article, you will find instructions on how to generate embeddings for a collection of images using Azure AI Vision. The complete working project can be found in the GitHub repository. If you want to follow along, you can fork the repository and clone it to have it locally available.
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A note from our sponsor - InfluxDB
www.influxdata.com | 2 May 2024
Stats
sfoteini/vector-search-azure-cosmos-db-postgresql is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of vector-search-azure-cosmos-db-postgresql is Jupyter Notebook.
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