This repo shows how to generate a synthetic product catalog for a bike retailer using Azure OpenAI's GPT 4o, then vectorizes it using text-3-large embedding model. The generated dataset is written to a local json file, then is written to a Cosmos DB container which has a vector index on the property containing the embeddings so it can used in a vector query in Azure Cosmos DB.
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