Stream live data from Amazon Keyspaces to S3 vector for real time AI applications

This article demonstrates how to stream live data from Amazon Keyspaces to S3 Vector for real-time AI applications using change data capture (CDC) and vector search.

• Amazon Keyspaces CDC streams capture data changes with millisecond latency for AI applications
• Vector search enables similarity-based retrieval by converting data into numerical embeddings
• S3 Vector buckets provide cost-effective storage and querying of vector embeddings
• Keyspaces Connector Library processes CDC records and inserts them into S3 Vector indexes
• Tutorial builds a movie recommendation system with real-time updates using CDC streams
• Docker container runs the stream consumer application to populate S3 Vector indexes
• Optional OpenSearch Ingestion pipelines enable advanced data transformations and processing
• Architecture combines real-time streaming, cloud storage, and vector search for AI applications

This solution enables organizations to build intelligent, event-driven systems that respond instantly to data changes while maintaining fresh context for generative AI applications.