Create Data
Dynamically create structured data with customizable fields for flexible workflow automation.
Component description
How the Create Data component works
Create Data
Create Data is a flow component designed to dynamically generate a new data record with a customizable number of fields. It serves as a foundational building block in AI workflows where the structured creation of data objects is required.
What Does the Component Do?
This component allows users to create a new data object, specifying exactly how many fields (between 1 and 15) should be included. The fields themselves can be used to store text or other information, making the component flexible for a variety of use cases such as initializing records, templates, or structured inputs for downstream processing.
Inputs
| Name | Type | Required | Description | Advanced |
|---|---|---|---|---|
| Number of Fields | Integer | No | Number of fields to add (min: 1, max: 15) | No |
| Text Key | String | No | Key to be used as text (for advanced use) | Yes |
- Number of Fields: Lets you define how many fields the new data record will have. This is useful when you know the structure of your data in advance.
- Text Key: An optional advanced setting to specify which key will be used for text data. This can help in cases where you want to label or organize your fields in a specific way.
Outputs
| Name | Type | Description |
|---|---|---|
| Data | Data | The created data record |
The output is a new data object that can be used elsewhere in your workflow—for example, as input for data processing, enrichment, or model inference steps.
Usefulness in AI Workflows
- Initialization: Use this component at the start of your workflow to generate structured data objects.
- Template Creation: Prepare blank or partially filled records to be updated or populated later.
- Modularity: Helps break down complex workflows by standardizing input data formats.
Update Data
Update Data is a flow component designed to modify existing data records by updating or replacing fields using key-value pairs, similar to how you would update a Python dictionary.
What Does the Component Do?
This component takes an existing data object and allows you to update specific fields by providing new key-value pairs. It is especially useful when you want to incrementally build up or modify a data record as it passes through different stages of your AI workflow.
Inputs
| Name | Type | Required | Description | Advanced |
|---|---|---|---|---|
| Data | Data | No | The record to update | No |
| Field to Replace | Dict / Message | No | Key-value pairs for updates | No |
- Data: The data object you want to update.
- Field to Replace: A dictionary or message specifying which field(s) to update and their new values.
Outputs
| Name | Type | Description |
|---|---|---|
| Data | Data | The updated data record |
The output is the modified data object, ready for further processing.
Usefulness in AI Workflows
- Incremental Data Enrichment: Add or update fields as new information becomes available.
- Dynamic Workflows: Adapt data records on the fly, based on the results of previous workflow steps.
- Integration: Seamlessly update data structures to be compatible with other components that require specific fields.
Summary Table
| Component | Main Function | Key Inputs | Output | Use Cases |
|---|---|---|---|---|
| Create Data | Create new data object | Number of Fields, Text Key | Data | Initialization, templating, structuring |
| Update Data | Update data object | Data, Field to Replace | Data | Data enrichment, dynamic updates |
Both components are essential for managing data lifecycle in modular AI workflows, giving you the flexibility to create and modify structured data as needed.
Examples of flow templates using Create Data component
To help you get started quickly, we have prepared several example flow templates that demonstrate how to use the Create Data component effectively. These templates showcase different use cases and best practices, making it easier for you to understand and implement the component in your own projects.
Frequently asked questions
- What does the Create Data component do?
It allows you to create new data records with a chosen number of fields, making it easy to generate structured data dynamically within your workflow.
- Can I specify how many fields are created?
Yes, you can choose between 1 and 15 fields when creating a data record, giving you control over the structure of the data.
- What types of workflows benefit from Create Data?
Any workflow that involves generating new structured data, such as form submissions, automated data processing, or dynamic data assembly, can benefit from this component.
- What is the Update Data component used for?
It updates existing data records by modifying specific fields, similar to changing values in a Python dictionary.
- Can I update multiple fields at once?
Yes, you can specify multiple key/value pairs to update several fields in the data record at once.
- Why is Update Data important in workflows?
It allows automation flows to dynamically modify and manage data as it moves through different stages, ensuring information is always up-to-date.
Try FlowHunt Create Data
Start building workflows that generate custom data records with the Create Data component in FlowHunt.
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