Overview
Neo supports AI-powered dataflow generation and editing. This allows you to build workflows simply by describing your use case in natural language. Whether you're creating a new dataflow or updating an existing one, the AI interprets your intent and generates the necessary dataflow automatically.
How It Works: AI Processing Flow
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Prompt Enrichment (RAG):
The system enhances your natural language prompt with additional context and examples using Retrieval-Augmented Generation (RAG). -
AI-Generated Draft:
The LLM (Large Language Model) translates your prompt into a draft dataflow with all necessary blocks. -
Validation Layer:
A system-level validator checks for:- Missing or misconfigured blocks
- Empty or incomplete nodes
- Syntax issues in script blocks
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Auto-Explanation + Preview:
Once validated, the draft dataflow appears in the UI along with a clear, step-by-step explanation of what each block does. -
Interactive Refinement:
You can:- Accept and render the dataflow
- Request changes via a new prompt
- Discard and regenerate
What You’ll See on the UI
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Block-by-block Explanation:
Each block includes a short summary of its role in the dataflow. -
Preview of Generated Dataflow:
Instantly view the structure of the proposed dataflow before deploying. -
Default Error Handling:
AI automatically includes a fallback error-handling block to ensure graceful execution. -
Prompt Revisions:
Easily update or refine your prompt to adjust the logic.
Updated about 14 hours ago