Add Python select-algorithm sample#66
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Adds a Python sample demonstrating how to choose and configure vector search algorithms (IVF, HNSW, DiskANN) in Azure DocumentDB. Uses DefaultAzureCredential for passwordless auth and Azure OpenAI for embeddings. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Create .env.example with all required environment variables - Add embedding dimension validation after query embedding generation - Update default OpenAI API version from 2023-05-15 to 2024-10-21 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Replace raw lambda with get_bearer_token_provider for AzureOpenAI auth - Add credential.close() in finally block for proper cleanup - Add type hints to function signatures Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Closing — this work has been consolidated into PR #74 (combined Article 2+3: select-algorithm samples for all 5 languages). |
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This PR adds a Python sample demonstrating how to choose and configure vector search algorithms (IVF, HNSW, DiskANN) in Azure Cosmos DB for MongoDB vCore.
Features:
Prerequisites:
Related Documentation:
This sample supports the quickstart article currently pending content repo migration.