With Neo Extensions, you can now generate dataflows using natural language prompts through the built-in AI assistant—AIRA. This simplifies the workflow creation process, reducing manual effort and speeding up development.

1. Log in to the Neo Extensions UI and create a new dataflow.

2. Click on the default version (e.g., v1) in the top-left panel.

3. Launch the AIRA Coder by clicking the chat icon in the bottom-right corner.

   

4. Enter your prompt describing what you want to build.

   • Neo uses Retrieval-Augmented Generation (RAG) to enrich your prompt with context.
   • The LLM identifies required building blocks such as Schema, Script, or API blocks.

5. Click the Send icon to submit the prompt.

6. AIRA returns a proposed dataflow with a step-by-step explanation.

7. Review the result and click:

   • Accept – to render it on the canvas
   • Reject – to discard and revise
   

Testing and Executing the Dataflow

Before execution:

• Update the API URL in the Trigger block
• Save the dataflow

To test and monitor execution, refer to the Execution & Monitoring guide.

Prompting Best Practices

To get the best results from AIRA, follow these tips:

• Use clear and specific language
• Write in full sentences or step-by-step instructions
• Avoid vague prompts like Hi or Help

Example Prompt

Create a dataflow to perform the following:
1. Take input: FFN, Fname, Lname
2. Validate the parameters
3. Fetch customer details
4. Extract names for alias check
5. Perform alias validation