Build an AWS Solutions Architect Agent with Amazon Bedrock

Leverage the power of generative AI to enhance your AWS cloud solutions. In this video, we’ll show you how to create an AWS Solutions Architect Agent tailored to your needs, using Amazon Bedrock’s secure and scalable platform. Combining large language model capabilities with customized tools, Amazon Bedrock empowers your AI agent to create and deploy well-architected solutions on AWS.
Learn more about Generative AI on community.aws 👇
community.aws/generative-ai
Resources:
🔗 Code: github.com/build-on-aws/amazo...
🔗 For more on AWS Generative AI: aws.amazon.com/generative-ai/
🔗 Get started with Amazon Bedrock: aws.amazon.com/bedrock/
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🐦 Twitter: / awsdevelopers
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📺 Instagram: awsdevelope...
Chapters:
00:00 - Introduction
00:38 - What is an Agent?
01:00 - Citing the AWS Well-Architected Framework
04:38 - Deploying AWS Lambda Functions
06:18 - Chain of Thought
07:35 - Creating an Agent
09:30 - Connecting to a Lambda Function
10:45 - Querying the Agent
11:30 - Conclusion
#GenerativeAI #ArtificialIntelligence #AmazonBedrock

[@AvinashKulkarni-hu5dx]

This is really helpful, can you share any git resource to refer and build text to sql query to fetch result from database with help of agent.

[@michaelwallace4757]

This would be much more helpful if you included the code you developed in the future. Thanks for the video.

[@awsdevelopers]

Thanks for the feedback! Added the code into the description. Available here: github.com/build-on-aws/amazon-bedrock-agents-quickstart

[@michaelwallace4757]

Thank you!

[@continuouslearner]

so whats the difference between creating an agent and using the KB feature within bedrock to perform RAG on Well Architected document PDFs in S3?

[@banjtheman]

Agents can now natively use knowledge bases, which is managed in AWS.
You can also build a standalone tool that has a local vector db to act as a knowledge base but you have to manage it