Skip to content
Nappai Documentation

Label Component

This component helps you organize and identify items within your Nappai automation system by adding labels and colors. It’s like adding tags to your data to make it easier to find and understand.

Inputs

  • label: This is the text of your label. For example, you might use “High Priority,” “Customer A,” or “Completed.”
  • color: This lets you choose a color for your label. This helps visually distinguish different types of items in your workflow. (Note: Currently, you’ll need to enter the color as a text string, such as “red”, “blue”, or “#FF0000” for a specific hex code).

Outputs

The component produces a “Data” output. Currently, this output is empty. Future updates will make this output show the labels and colors you’ve added, allowing you to use this information in other parts of your Nappai workflow.

Usage Example

Imagine you’re using Nappai to process customer support tickets. You could use the Label Component to add labels like “Urgent,” “Solved,” and “Pending,” each with a different color. This would allow you to easily filter and prioritize tickets in your dashboard.

Templates

This component is not yet associated with any specific templates.

  • Scorer: Assigns a numerical score to an item. You could use labels to categorize items after scoring them.
  • Categorizer: Extracts categories from data. The Label Component can then be used to visually represent these categories.
  • Describe Image: Describes images using AI. You could use labels to categorize the descriptions.
  • Summarizer: Summarizes text. Labels could be used to organize different summaries.
  • Ai Filter: Filters data based on natural language queries. Labels could help you pre-filter data before using the Ai Filter.
  • Docx Writer: Creates Word documents. Labels could be used to organize the content within the document.
  • LinkedIn Post: Posts messages to LinkedIn. Labels could help categorize the types of posts.
  • S3 Writer: Writes data to Amazon S3. Labels could help organize files in S3.
  • Pdf Writer: Creates PDF documents. Labels could be used to organize the content within the document.
  • Slack Message: Sends messages via Slack. Labels could help categorize the messages.
  • Amadeus API: Accesses the Amadeus travel API. Labels could be used to organize travel data.
  • Locations Details: Retrieves location details. Labels could categorize locations.
  • Search API: Searches TripAdvisor locations. Labels could organize search results.
  • Self Query Retriever: Retrieves data using a vector store and LLM. Labels could help organize retrieved data.

Tips and Best Practices

  • Keep your labels concise and descriptive.
  • Use a consistent color scheme for better visual organization.
  • Experiment with different label combinations to find the best way to organize your data.

Security Considerations

No specific security considerations are currently identified for this component. However, always follow best practices for data security within the Nappai system.