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The solution has been designed using the following services: Amazon Elastic Container Service (ECS) : to deploy and manage our Streamlit UI. Amazon Lambda : to run the backend code, which encompasses the generative logic. In step 5, the lambda function triggers the Amazon Textract to parse and extract data from pdf documents.
By following these guidelines, data teams can implement high fidelity ground truth generation for question-answering use case evaluation with FMEval. Samantha has a research masters degree in engineering from the University of Toronto, where she authored several publications on data-centric AI for drug delivery systemdesign.
During the solution design process, Verisk also considered using Amazon Bedrock Knowledge Bases because its purpose built for creating and storing embeddings within Amazon OpenSearch Serverless. In the future, Verisk intends to use the Amazon Titan Embeddings V2 model. The user can pick the two documents that they want to compare.
The agent can recommend software and architecture design best practices using the AWS Well-Architected Framework for the overall systemdesign. Create and associate an action group with an API schema and a Lambda function. Recommend AWS best practices for systemdesign with the AWS Well-Architected Framework guidelines.
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