Add Java select-algorithm sample#68
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diberry wants to merge 4 commits intoAzure-Samples:mainfrom
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Adds a Java 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>
- Replace 5-iteration latency averaging with single query execution (matches all other language samples) - Return all k=5 results instead of just first() - Print search results with scores (matches TS/Python/Go/.NET output) - Add connectTimeoutMS=120000 to connection string (matches other samples) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Create .env.example with all required environment variables - Add embedding dimension validation after OpenAI API call - Add startup validation for required environment variables Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Create DefaultAzureCredential once and reuse across methods - Replace catch-all Exception with specific types (MongoException, IOException) - Ensure MongoClient is properly closed after execution 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 Java 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.