<ul><li>Amazon OpenSearch offers machine learning (ML) connectors for data augmentation before ingestion.</li><li>Two highlighted connectors are Amazon Comprehend for language detection and Amazon Bedrock for semantic search.</li><li>To use Amazon Comprehend with OpenSearch, roles, permissions, and connectors need to be set up.</li><li>For Amazon Bedrock, an ML connector is created to utilize the Titan Text Embeddings model v2.</li><li>Steps involve setting up connectors, registering APIs, and creating pipelines for ML integration.</li><li>Testing Amazon Comprehend API involves detecting language in text, while Amazon Bedrock enables multilingual semantic search.</li><li>Post successful setup, language documents are indexed with embeddings for semantic searches.</li><li>The ML connector approach offers simplified architecture, operational benefits, and cost efficiency.</li><li>The full demo available on GitHub showcases the process of using ML connectors with OpenSearch.</li><li>Authors of the post are John Trollinger, Principal Solutions Architect, and Shwetha Radhakrishnan, Solutions Architect at AWS.</li></ul>

Using Amazon OpenSearch ML connector APIs

Discover more