AI Tables
Transform unstructured data into structured data
Similar to creating sources, we can create AI tables by simply changing the type
and adding the ai_cols
parameter:
ai_sales_calls.yaml
description: AI enhanced version of sales_calls
ai_cols:
- name: successful
type: Nullable(Bool)
description: Whether this call was successful (which is defined as successfully
setting up a follow up call). If the follow up scheduling is successful, the
call should include an explicit date/time for the call.
default_value: '""'
using:
- Transcript
- name: competitors_mentioned
type: Array(String)
description: Who are the competitors mentioned (if any)?
default_value: '"N/A"'
using:
- Transcript
- name: features_mentioned
type: Array(Enum('Customizable Templates', 'Inventory Management', 'Marketing
Automation', 'Customer Support Integration', 'Social Media Integration', 'None'))
description: Which features are mentioned in the call?
default_value: '["None"]'
using:
- Transcript
cols:
ID: UUID
Transcript: String
We have a new parameter:
Columns to be filled by the AI source.