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Amazon Bedrock Knowledge Bases

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EVENT TIMELINE

2

COMPANIES · 1 SOURCE · AWS Machine Learning

AWS outlines vector-store choices for Amazon Bedrock Knowledge Bases (OpenSearch, Aurora pgvector, S3 Vectors)

AWS published guidance for the customer-managed configuration of Amazon Bedrock Knowledge Bases, comparing three supported vector-store backends—Amazon OpenSearch Service (managed and serverless), Amazon Aurora PostgreSQL with pgvector, and Amazon S3 Vectors—and evaluating their tradeoffs across RAG use cases (latency, cost, scalability). The post maps each backend to example workloads such as e-commerce product search and discusses performance and cost implications.

6.0

MODELS · 1 SOURCE · AWS Machine Learning

TwelveLabs' Marengo Embed 3.0 added to Amazon Bedrock Knowledge Bases for video, image and audio search

TwelveLabs' Marengo Embed 3.0 is now generally available as an embedding model in Amazon Bedrock Knowledge Bases, enabling fully managed natural-language semantic search over video, image and audio content. AWS Machine Learning published a walkthrough showing how to build a Bedrock knowledge base powered by Marengo 3.0 and run semantic queries against media.

6.0