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Nappai Documentation

Text Embedder

This component in Nappai helps your automation system understand the meaning of text. It takes a message as input and converts it into a numerical code, called an embedding. These embeddings allow Nappai to compare and analyze text more effectively, enabling more sophisticated automation tasks.

Relationship with Embedding Models

This component uses a pre-trained embedding model to generate the numerical representations of your text. Think of it like a translator that converts words into a language Nappai understands. The accuracy and effectiveness of the embeddings depend on the chosen embedding model. You’ll select the model you want to use from a list provided within Nappai.

Inputs

  • Embedding Model: This is the specific model Nappai will use to create the embeddings. You’ll choose this from a list of available models within the Nappai dashboard. Different models have different strengths, so choosing the right one is important for your specific task.
  • Message: This is the text you want to convert into an embedding. You can input any text here, such as a sentence, paragraph, or even a whole document.

Outputs

The component produces Embedding Data. This output contains two things: * The original text message you inputted. * The numerical embedding generated from that message.

This output is then available for use in other parts of your Nappai workflow. Other components can use this embedding data to compare your message to other text, group similar messages together, or perform other advanced analysis.

Usage Example

Let’s say you want to automatically categorize incoming customer support emails. You would:

  1. Input the email text into the “Message” input.
  2. Select an appropriate embedding model.
  3. The “Embedding Data” output will contain the email text and its embedding.
  4. You can then use another Nappai component (not shown here) to compare this embedding to embeddings of emails already categorized, allowing the system to automatically assign the new email to the correct category.

Templates

[List of templates where the component can be seen and its configuration. To be filled in by the system administrator based on actual implementation. ]

[Links to other related components and a brief description of each. To be filled in by the system administrator based on actual implementation.]

Tips and Best Practices

  • Choose an embedding model appropriate for your task. Experiment with different models to find the best one for your needs.
  • Ensure your input message is clear and well-written to get the most accurate embeddings.
  • Refer to Nappai’s documentation for more information on available embedding models and their capabilities.

Security Considerations

[If applicable, include appropriate security considerations. To be filled in by the system administrator based on actual implementation and security policies.]