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Instead of repeated examples with different models, why not show how you can use meta-data to narrow the scope of the query to the vector store, configure how many results are returned from the vector store, or how you can customize the system prompt when using Knowledge Bases. These new capabilities should be featured in the workshop.
The key difference is in ability to plug in functions calling and in second we demonstrate function calling with retriever. The Agents is able to invoke appropriate call based on the user query
From: Shreyas Subramanian ***@***.***>
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Date: Wednesday, May 15, 2024 at 12:12 PM
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Cc: "Grewal, Rupinder" ***@***.***>, Mention ***@***.***>
Subject: Re: [aws-samples/amazon-bedrock-workshop] What is the difference between the 2 langchain_rag_retrieve_api files in module 2? (Issue #238)
@jicowan<https://github.com/jicowan> I agree, we can consolidate and improve as you said.
@rsgrewal-aws<https://github.com/rsgrewal-aws> I think you may have already been thinking in these lines
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Aside from the model (Claude) the examples look nearly identical. Can we combine them?
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