AWS Machine Learning Blog· Frank Lapolito·· 7 h ago
Build a semantic layer for agentic AI on AWS with AtScale and Amazon Bedrock AgentCore
Build a semantic layer for agentic AI on AWS with AtScale and Amazon Bedrock AgentCore
AI summary
The third post in our semantic-layer series builds a governed customer 360 model on Amazon Redshift with AtScale, then exposes it to a Strands agent on Amazon Bedrock AgentCore through the AtScale MCP server. Identity propagation, RBAC, row security, and full query audit are enforced at the semantic layer, not the prompt.
Selection record
Threshold 60Official, first-handFirst 34Second 34
Not admittedSum of both 68 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：构建Agentic AI语义层与AgentCore部署教程
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com