Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

Machine Learning Blog

This article describes how to create a multimodal chat assistant tailored to your own dataset using Amazon Bedrock FMs on AWS.

Specifically, the article covers:

Solution overview: How the system works with components like AWS Lambda, Amazon OpenSearch Service, Amazon SageMaker, API Gateway.
Prerequisites: Activating required Amazon Bedrock models like Claude 3 Sonnet, Titan Text Embeddings.
Deployment steps: Using AWS CloudFormation to deploy the solution, populating OpenSearch index.
Testing the system: Testing the Lambda function, using the API Gateway connection.
Performance analysis: Measuring the latency of different components like VLM, LLM generation, text embeddings.
Cleanup steps: To remove deployed resources and avoid charges.

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Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

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