Update invitees.mdx
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# Creating a RAG Tool for Guest Stories
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Alfred, your trusted agent, is preparing for the most extravagant gala of the century. To ensure the event runs smoothly, Alfred needs quick access to up-to-date information about each guest. Let's help Alfred by creating a custom Retrieval-Augmented Generation (RAG) tool, powered by our a custom dataset.
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Alfred, your trusted agent, is preparing for the most extravagant gala of the century. To ensure the event runs smoothly, Alfred needs quick access to up-to-date information about each guest. Let's help Alfred by creating a custom Retrieval-Augmented Generation (RAG) tool, powered by our custom dataset.
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## Why RAG for a Gala?
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@@ -210,7 +210,7 @@ class GuestInfoRetrieverTool(Tool):
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guest_info_tool = GuestInfoRetrieverTool(docs)
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```
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Let's understand this tool step-by-step.
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Let's understand this tool step-by-step:
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- The `name` and `description` help the agent understand when and how to use this tool
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- The `inputs` define what parameters the tool expects (in this case, a search query)
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- We're using a `BM25Retriever`, which is a powerful text retrieval algorithm that doesn't require embeddings
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@@ -459,7 +459,7 @@ Now that Alfred can retrieve guest information, consider how you might enhance t
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Now Alfred is fully equipped to handle guest inquiries effortlessly, ensuring your gala is remembered as the most sophisticated and delightful event of the century!
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<Tip>
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Try extending the retriver tool to also return conversation starters based on each guest's interests or background. How would you modify the tool to accomplish this?
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Try extending the retriever tool to also return conversation starters based on each guest's interests or background. How would you modify the tool to accomplish this?
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When you're done, implement your guest retriever tool in the <code>retriever.py</code> file.
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</Tip>
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