From the course: Learning Amazon Bedrock
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Amazon Bedrock use case - Amazon Bedrock Tutorial
From the course: Learning Amazon Bedrock
Amazon Bedrock use case
- [Narrator] One of the best use cases for RAG is implementing a robust internal search at a company. A company may have hundreds or thousands of manuals and other documents on various processes, and it's often difficult for employees to find information they're looking for. In addition, being able to perform a conversational semantic search saved via a chatbot would be super helpful. Simply ask the chatbot a question on any topic or procedure in the company and get an accurate response. In addition to getting the results, wouldn't it be nice if a link to the appropriate documents or section of the internet site could also be returned so you can review the source of the response to verify accuracy or get additional information? Well, this is a perfect use case for generative AI and the RAG architecture. Semantic conversational search is perhaps one of the most popular Gen AI use cases. We're going to take a look at how to build this capability using Amazon Bedrock. We're going to use…
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