Category: Amazon Bedrock Knowledge Bases

Amazon Bedrock AgentCore enables rapid deployment and scaling of AI agents with enterprise-grade security. It provides memory management, identity controls, and tool integration—streamlining development while working with any open-source framework and foundation model.

Amazon S3 Vectors is a new cloud object store that provides native support for storing and querying vectors at massive scale, offering up to 90% cost reduction compared to conventional approaches while seamlessly integrating with Amazon Bedrock Knowledge Bases, SageMaker, and OpenSearch for AI applications.

Amazon Nova Sonic is a new foundation model on Amazon Bedrock that streamlines speech-enabled applications by offering unified speech recognition and generation capabilities, enabling natural conversations with contextual understanding while eliminating the need for multiple fragmented models.

As we celebrate International Women’s Day (IWD) this March, I had the privilege of attending the ‘Women in Tech’ User Group meetup in Shenzhen last weekend. I was inspired to see over 100 women in tech from different industries come together to discuss AI ethics from a female perspective. Together, we explored strategies such as […]

Evaluate AI models and applications efficiently with Amazon Bedrock’s new LLM-as-a-judge capability for model evaluation and RAG evaluation for Knowledge Bases, offering a variety of quality and responsible AI metrics at scale.

With custom connectors and reranking models, you can enhance RAG applications by enabling direct ingestion to knowledge bases without requiring a full sync, and improving response relevance through advanced reranking models.