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I would take a look at this solution that does get closer to your ask: https://aws.amazon.com/blogs/machine-learning/deploy-generative-ai-self-service-question-answering-using-the-qnabot-on-aws-solution-powered-by-amazon-lex-with-amazon-kendra-and-amazon-bedrock/
The full implementation can be seen here: https://aws.amazon.com/solutions/implementations/qnabot-on-aws/
Depending on your data tables there might need to be changes to the ingest pipeline to tie your data tables to the keys that are being used for your embedding table. This will tie relevant data tables to your embedding table.
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