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Nappai Documentation

LLMCheckerChain

This component in Nappai helps you get accurate answers to your questions. It works by sending your question to an AI language model, getting an answer, and then verifying that answer to make sure it’s reliable.

Relationship with Langchain

This component uses Langchain’s LLMCheckerChain, a powerful tool that ensures the AI’s answers are accurate and trustworthy. This means you’ll get better, more reliable information from Nappai.

Inputs

  • Input: This is where you type your question. It’s a text box that allows for multiple lines of text. You must enter a question here.
  • Language Model: This lets you choose which AI language model Nappai will use to answer your question. You must select a model from the available options.

Outputs

The component produces a single output: a text message containing the verified answer from the AI language model. This answer will appear in the dashboard, ready for you to use in your workflow. You can then use this answer in other parts of your Nappai automation.

Usage Example

Let’s say you want to know the population of Paris. You would:

  1. Type “What is the population of Paris?” into the Input field.
  2. Select your preferred Language Model from the dropdown.
  3. Run the component.
  4. The verified answer (e.g., “The population of Paris is approximately X”) will appear in the status output.

Templates

This component is used in many Nappai workflows, but there is no specific template list provided.

Many components can work with the output of the LLMCheckerChain. Here are a few examples:

  • Explain SQL results: Use this to understand complex data from your database after asking a question about it using LLMCheckerChain.
  • SQL Query Constructor: Create a database query to get the data you need, then use LLMCheckerChain to understand the results.
  • Text Output: Display the verified answer from LLMCheckerChain in your dashboard.
  • Many other components: LLMCheckerChain’s output (a text message) can be used as input for a wide variety of other Nappai components.

Tips and Best Practices

  • Clear Questions: Ask clear and concise questions to get the best results. Ambiguous questions may lead to inaccurate or unhelpful answers.
  • Model Selection: Experiment with different language models to see which one provides the most accurate and relevant answers for your needs.

Security Considerations

The security of this component depends on the security of the chosen language model and the data you provide as input. Ensure you are using a reputable language model and avoid entering sensitive or confidential information unless absolutely necessary.