Introduction to AI Agent for Supply Chain Management using Amazon Bedrock recipe
Introduction to AI Agent for Supply Chain Management using Amazon Bedrock recipe
The AI Agent for Supply Chain Management using Amazon Bedrock recipe is based on REST and
SOAP APIs. Use the recipe to handle natural language queries across services, such
as Informatica Master Data Management, Informatica Data Governance and Catalog,
Oracle, and Salesforce. The Uber Planner processes the input prompts using Amazon
Bedrock AI, orchestrates the workflow for its corresponding agents, and provides a
summarized result of the query.
The recipe uses a guide to invoke the Amazon Bedrock RAG agent. The Amazon
Bedrock RAG agent calls the Amazon Bedrock Uber Planner. The Uber Planner
uses the planner input and the prompt to identify the agent to call, that
is, a Salesforce agent, MDM agent, Oracle agent, or CDGC agent. The
dispatcher service then dispatches the query to the corresponding agent. The
agent then converses with Amazon Bedrock and passes on the information. The
agent executor executes the request and provides a response. The Amazon
Bedrock summarizer then converses with the Amazon Bedrock RAG agent and
returns a summary.
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