You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Extraction structured information from the index (open extract.py to see queries and pydantic models):
python scripts/extract.py
Sample output
What losses have occurred in the past 5 years?
LossHistory(
losses=[
Loss(loss_date='2/20/21', loss_amount=7003.0, loss_description='Claimant was in his sleeper when his truck got hit by insured driver on the left', date_of_claim='4/19/21'),
Loss(loss_date='2/4/21', loss_amount=92584.0, loss_description='The IV was attempting to merge on the highway when the IV lost control and struck', date_of_claim='4/30/21'),
Loss(loss_date='9/14/21', loss_amount=5583.0, loss_description='IV was in the fast lane, when IV tire flew off and struck OV1, OV2, OV3, OV4', date_of_claim='9/15/21'),
Loss(loss_date='9/14/21', loss_amount=6299.0, loss_description='IV was in the fast lane, when IV tire flew off and struck OV1, OV2, OV3, OV4', date_of_claim='9/15/21')
]
)
What is the basic application information?
Application(
insured_name='Greentown Burgers LLC',
insured_address='Not provided',
insured_phone='Not provided',
insured_email='Not provided',
effective_date='07/22/2024'
)