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Instead of using the form-based no-code transformation builder, describe the transformation you need in plain English, and AI will generate the configuration for you. This is useful for complex conditions or computed values. Screenshot of the AI transformation interface with a text box prompting the user to describe their desired change in plain English

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When to use AI-Assisted transformations

This feature is for users who need to adjust data without writing code. It helps when you want to:
  • Add new attributes. For example, add a discount percentage field from the full price and the sale price.
  • Remove fields that are no longer relevant.
  • Filter records. For example, to exclude test products or filter by status.
  • Compute new values from existing attributes. For example, create a ranking signal by combining popularity and newness.

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Key benefits

  • Simplifies complex logic. You don’t need to build nested “if/then” rules manually: AI handles it.
  • Faster iteration. Quickly test and refine transformations using natural language.
  • You stay in control. AI fills in the form, but you can review and adjust it before applying.
  • Preview before applying. See how your data will look before committing changes.

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Use AI to build a transformation

  1. Go to the Algolia dashboard and select your Algolia .
  2. On the left sidebar, select Data sources.
  3. Open the Connectors page and select a connector.
  4. Configure your data source by selecting the appropriate options.
  5. Click Create source
  6. Select Create a new transformation and then select Transform without code.
  7. Click AI Assist
  8. Describe your transformation by typing it in plain English. For example: “If price is greater than 100, add the label ‘expensive’.” Screenshot of the 'Delete Attribute: inventory' step with a text input and options to add conditions or groups.
  9. Review the suggestion. AI generates a transformation configuration based on your prompt. You’ll see a preview showing how your data will change before you apply it. Refine the transformation either by adjusting your prompt or by editing the form fields. Screenshot showing AI-generated transformation preview with editable field
  10. Name the transformation and save it.
  11. Complete the remaining connector workflow: select a destination, create the task that will schedule the job (and its indexing strategy), and then click Run. The connector then runs the transformation as part of the workflow. Screenshot of a task configuration interface with 'On demand' and 'Partial record updates' selected.

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Limitations

The AI assistant has a few constraints to keep in mind when using it with No Code data transformations.
  • Limited transformation types. Only these transformation types are supported: Add Attribute, Remove Attribute, Filter Records, and Compute New Value. It doesn’t cover advanced operations like joins, type conversions, or hierarchical restructuring.
  • Accuracy of suggestions. The perfect transformation may not always be generated. Review and, if needed, refine the suggestion before applying it. This “human in the loop” step is essential.
  • Prompt constraints. Prompts must be concise and specific. Long or ambiguous descriptions may lead to incomplete or incorrect transformations.
  • Performance limits. Transformations are still bound by Algolia’s service limits (for example, record size, memory, and execution timeout). AI can’t bypass these constraints.
  • Security and data handling. Only the record schema and your written prompt are sent to the AI model, not full record data. This means if you include sensitive data in a prompt, it could be processed, so avoid adding personally identifiable information or confidential values.
  • Over-reliance. Use AI to help, not replace your judgment. Confirm that the previewed changes are correct, as incorrect logic could affect search relevance.
  • Language coverage. Prompts are optimized for English. Support for other languages is limited.
Last modified on November 9, 2026