This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Description of changes:
RAG Evaluation using RAGAS. Evaluating metrics - faithfulness, answer_relevancy, context_precision, context_recall.
The evaluation is performed on a set of questions and ground truths and the output is visualized using a pandas dataframe.
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Description of changes: RAG Evaluation using RAGAS. Evaluating metrics - faithfulness, answer_relevancy, context_precision, context_recall. The evaluation is performed on a set of questions and ground truths and the output is visualized using a pandas dataframe.
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.