build-on-aws/bedrock-agent-appointment-manager-dynamodb
I'll guide you through setting up the resources, defining the agent's action groups, associating AWS Lambda functions to execute DynamoDB operations, and integrating the knowledge base for enhanced conversational experiences to provide more personalized and context-aware responses to user queries. All this with a 'CDK deploy' command using the AWS
This project helps AWS developers build conversational AI agents for Amazon Bedrock that can interact with Amazon DynamoDB databases and Knowledge Bases using natural language. It takes your existing DynamoDB tables and Bedrock Knowledge Bases and outputs a deployable agent that can schedule appointments, retrieve information, and offer personalized recommendations based on user queries. This tool is designed for developers who want to integrate AI-powered natural language interfaces into their applications.
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Use this if you are an AWS developer looking to create an intelligent conversational agent that can seamlessly manage appointment data in DynamoDB and provide context-aware responses from a Bedrock Knowledge Base.
Not ideal if you are not an AWS developer or if you do not have foundational knowledge of Python and AWS CDK.
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Python
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MIT-0
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Last pushed
Jun 04, 2024
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