From the course: Building Applications Using Amazon Bedrock
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Use case overview - Amazon Bedrock Tutorial
From the course: Building Applications Using Amazon Bedrock
Use case overview
- [Instructor] Generative AI is great at summarizing, connecting the dots, and helping us make sense of a lot of information. If you think about a typical organization, there's so much documentation, including manuals, training materials, internal and customer data, intranets, code bases, reports, and the list goes on and on. There could be thousands or millions of documents. Being able to quickly find an answer to a question becomes a challenging problem to solve. Also, because documents and data change so quickly, how do you know that when you locate information that it's the latest and most up to date version? This is where Generative AI can help. One of the best use cases for Generative AI is implementing a RAG architecture to build out a robust internal company search, being able to perform a conversational semantic search via chat bot would be very helpful. You simply ask a question and get a concise, accurate…
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Use case overview2m 32s
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Architecture review1m 34s
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Setting up your knowledge base4m 19s
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Writing the code: Knowledge base interaction7m 22s
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Demo: Knowledge base interaction2m 21s
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Coding: Adding Streamlit integration - Part 15m 9s
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Coding: Adding Streamlit integration - Part 26m 11s
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Demo: Streamlit UI3m 29s
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