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← All Sample Datasets/Airline Operations
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Transportation

Airline Operations

[1] Setup
import mantr

# Create memory pod for airline operations
pod = mantr.create_pod("airline-operations")
print(f"Created pod: {pod.id}")
[2] Ingest & Parse
# Sample 1: Ingest document with Karak extraction
result = pod.ingest("""
Flight AA-1234 departed LAX for JFK with 180 passengers at 14:30 PST.
""")

print(f"Extracted {len(result.memories)} Karak roles")
[3] Retrieve Context
# Retrieve context using Karak-based query
context = mantr.walk(
    query="Flight AA-1234",
    pod="airline-operations",
    seek_karak="kartā"  # Find the agent/subject
)

print(context)

Karak Roles Reference

kartā
Agent/Subject
WHO
karma
Object
WHAT
karaṇa
Instrument
WITH WHAT
sampradāna
Recipient
TO WHOM
apādāna
Source
FROM WHERE
adhikaraṇa
Location/Time
WHERE/WHEN
sambandha
Relation
WHOSE
kriyā
Action
VERB