Generate Structured Metadata with Multilingual Support
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Automate the creation of structured metadata in both English and Chinese.
About This Workflow
This workflow demonstrates how to generate structured metadata with support for multiple languages. It ingests raw data from two sources, processes and merges them based on common identifiers, and prepares the output for use in applications requiring multilingual metadata.
Key Features
- Data ingestion from multiple sources.
- Data transformation and structuring using Function nodes.
- Merging of data based on specified keys.
- Preparation for multilingual output.
How To Use
- Data 1: This Function node defines the primary data structure for metadata, including interview details. It is designed to be the left side of the merge operation.
- Data 2: This Function node provides supplementary data, such as interviewer details, which will be used to enrich the primary data. It is designed to be the right side of the merge operation.
- Convert Data 1 & Convert Data 2: These Function nodes prepare the output from
Data 1andData 2respectively, ensuring each item is in the correct format for the merge node. - Merge: This node merges the data from
Convert Data 1andConvert Data 2. It usesinterviewers[0].idfromData 1andfields.eidfromData 2as the keys for merging, effectively linking interviewer information to the primary metadata entries.
Apps Used
Workflow JSON
{
"id": "94147a35-1ae3-4070-a9cb-7220532e53f8",
"name": "Generate Structured Metadata with Multilingual Support",
"nodes": 23,
"category": "Data Processing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 94147a35-1ae3...
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