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

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.