Vector search for Amazon DynamoDB with zero ETL for Amazon OpenSearch Service
Database Blog
This article discusses integrating Amazon DynamoDB with Amazon OpenSearch Service to enable vector search and generative AI capabilities for DynamoDB data. It covers:
- Amazon DynamoDB as a serverless, NoSQL database for operational workloads
- Zero-ETL integration between DynamoDB and OpenSearch Service for ingesting data
- Using Amazon Bedrock to automatically generate embeddings from DynamoDB data during ingestion to OpenSearch
- How vectorization enables semantic search and generative AI applications
- Solution architecture combining DynamoDB, S3, DynamoDB Streams, Bedrock, and OpenSearch
- Step-by-step guide to deploy the solution using CloudFormation
- Querying and searching the embedded data in OpenSearch using neural and hybrid search
- Considerations like mutating operations, resource cleanup, and future enhancements
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