The Entity Extraction Agent extracts structured information from users through natural conversation. The agent actively asks follow-up questions to gather all required information.
The extracted data is stored in a structured format:
Extracted: {{entity.data.field_name}}
Status: {{entity.status}}
Context Hint (Optional)
handlebars
Optional context to guide the agent.
Supports Handlebars syntax:
{{variable_name}}
Entity Schema
schema_builder
Required
Define the structure of entities to extract.
How it works:
The AI will work with data matching this schema. Required fields trigger follow-up actions if missing. Field descriptions help the AI understand what each field represents.
Available field types:
AI Configuration
agent_settings
Configure the AI model and behavior.
Configuration options:
Temperature guide:
Error Handling
error_handling
Configure how the node handles errors.
Configuration options:
Use retries for transient errors like network issues. Use "continue on error" to implement fallback logic.
This node stores its output in a variable that can be referenced in subsequent nodes using the {{variable}} syntax.
{{variable}}.status
string
Extraction status ("success")
{{variable}}.data
object
Extracted entities object (matches defined schema)
{{variable}}.timestamp
string
ISO 8601 timestamp