Description
This Node uses a Large Language Model (LLM) to extract entities, such as product codes, booking codes, or customer IDs, frominput.text of the Input object.
The Node supports both chat and voice use cases by processing text and transcribed speech inputs.
Before using this Node, set the LLM provider in the Settings.
You can configure the Node to either use the default model defined in the Settings or choose a specific configured LLM.
To view the extracted entity in the Interaction Panel, activate debug mode.
To output the extracted entity, add a Say Node below the LLM Entity Extract Node in the Flow editor. In the Text field of the Say Node, use the key you specified in the Storage Options section, for example, {{input.extractedEntity}}.
Parameters
Advanced
Advanced
Storage Options
Storage Options
Debugging Options
Debugging Options
When using the Interaction Panel, you can trigger two types of debug logs. These logs are only available when using the Interaction Panel and aren’t intended for production debugging. You can also combine both log types.
Examples
Extract a Booking Code from User Input
Extract a Booking Code from User Input
The user input is stored under LLM Entity Extract Node configuration:
input.text:- Entity Name:
bookingCode - Entity Description:
An alphanumeric booking code of 6 characters, such as XYZ123 or ABC987 - Example Input:
My booking code is XYZ123.It's X Y Z 1 2 3.
- Extracted Entity:
XYZ123
input.extractedEntity:Extract a Product Code from User Input
Extract a Product Code from User Input
The user input is stored under LLM Entity Extract Node configuration:
input.text:- Entity Name:
productCode - Entity Description:
An alphanumeric product code, such as P12A3B or X45K2Q - Example Input:
The product code is P12A3B.That would be P 1 2 A 3 B.
- Extracted Entity:
P12A3B
input.extractedEntity: