MultiQueryRetriever

This component helps Nappai find more relevant information when you ask a question. It does this by automatically rephrasing your question in multiple ways and then searching for answers using all the different versions. This improves the accuracy of Nappai’s search, especially when using similarity-based searches.

Relationship with Language Models (LLMs)

This component uses a Language Model (like a sophisticated AI) to rephrase your questions. The better the language model, the better the rephrased questions will be, and the more accurate your results.

Inputs

• LLM: This selects the AI model Nappai uses to rephrase your questions. You’ll need to choose an appropriate LLM from the available options.
• Prompt: This is an optional field. It allows you to customize how the AI rephrases your question. If left blank, Nappai will use a default setting. This is useful for advanced users who want fine-grained control over the rephrasing process.
• Retriever: This specifies where Nappai should search for answers (e.g., a specific database). You’ll need to select the correct retriever for your data source.
• Parser Key: This setting (usually left as the default “lines”) tells Nappai how to interpret the answers it finds. You generally won’t need to change this.

Outputs

This component doesn’t directly produce output that you see in the dashboard. Instead, it creates an internal object that improves the search process itself. The result is that you’ll see better search results in Nappai.

Usage Example

Imagine you’re searching for information about “customer complaints.” The MultiQueryRetriever component might rephrase this as:

• “Issues reported by customers”
• “Negative customer feedback”
• “Customer dissatisfaction”

Nappai would then search for information using all four versions of your question, giving you a more comprehensive set of results.

Templates

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Related Components

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Tips and Best Practices

• If you’re unsure which LLM to use, start with the default option provided by Nappai.
• Experiment with different prompts to see how they affect your search results. This can be helpful for very specific or complex searches.

Security Considerations

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