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Amazon OpenSearch Service launches flow builder to empower rapid AI search innovation
- Amazon OpenSearch Service has launched a flow builder to facilitate rapid AI search innovation on OpenSearch 2.19+ domains.
- The flow builder allows users to configure custom AI search flows for data enrichments during ingestion and search through a visual designer.
- AI search applications on OpenSearch can be powered without the need to build and maintain custom middleware.
- Applications are increasingly using AI and search for improved user interactions, content discovery, and automation.
- The AI search flow builder enables collaborative design and execution of AI search flows on OpenSearch with support for AI providers like Amazon Bedrock, SageMaker, and more.
- Key concepts of the AI search flow builder include ingest flows for data enrichment during indexing and search flows for dynamically enriching search requests and results.
- Scenarios are explored to demonstrate the use of the flow builder, such as enabling semantic search without code changes and employing generative AI for image search.
- The article also provides insights into configuring search flows, mapping models, and testing multimodal RAG flows for improved search accuracy.
- The AI search flow builder is available in all AWS Regions supporting OpenSearch 2.19+ to enhance AI workflows on OpenSearch Service.
- Authors involved in the development and contribution to the AI search flow builder include senior product managers, software engineers, and machine learning experts.
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