Add Go select-algorithm sample#67
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Adds a Go 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>
- Changed retryWrites from true to false (matches all other language samples) - Changed connect/server selection timeout from 30s to 120s (matches TS/Python) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Fix default DATA_FILE_WITH_VECTORS path from ../../data/ to ../data/ - Create .env.example with all required environment variables - Add embedding dimension validation after query embedding generation Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Accept context.Context in getClientsPasswordless and pass through - Add root context with 10-minute timeout in main() - Defer cursor.Close(ctx) after all cursor acquisitions - Use %w for error wrapping in returned errors 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 Go 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.