
Build a multilingual semantic search system for unstructured documents using Amazon Textract for OCR, SageMaker for embeddings, and OpenSearch for k-NN vector search while maintaining access control.


<div><p>This article demonstrates building multilingual semantic search for unstructured data repositories with access control, extending Part 1 architecture.</p><ul><li>Amazon Textract extracts text from documents via OCR workflow</li><li>SageMaker deploys universal-sentence-encoder-multilingual model for embeddings</li><li>Amazon OpenSearch k-NN search with HNSW algorithm indexes vector embeddings</li><li>API Gateway and Lambda functions enable semantic search queries</li><li>Access control maintained using Cognito ID token department claims</li><li>Solution supports cross-language search across English, German, Spanish, French</li><li>Complete walkthrough includes CDK deployment, SageMaker endpoint setup, sample data upload</li></ul><p>The solution enables organizations to search unstructured multilingual documents semantically while enforcing department-based access controls through AWS managed services.</p></div>


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