AWS Machine Learning Blog· Sundar Raghavan·· 5 d ago
Build a daily dependency watcher with LangGraph and Amazon Bedrock AgentCore web search
Build a daily dependency watcher with LangGraph and Amazon Bedrock AgentCore web search
AI summary
The Web Search API in Amazon Bedrock AgentCore gives agents current, cited web results signed with the AWS credentials they already use. In this post, build a daily dependency watcher as a LangGraph graph that researches package ecosystems in parallel, keeps its rules in code, and checks every finding against its cited sources.
Selection record
Threshold 60Official, first-handFirst 38Second 38
Not admittedSum of both 76 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：LangGraph与Bedrock AgentCore构建AI代理搜索
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