Recruitment Pipeline

[1] Setup

import mantr

# Create memory pod for recruitment pipeline
pod = mantr.create_pod("recruitment-pipeline")
print(f"Created pod: {pod.id}")

[2] Ingest & Parse

# Sample 1: Ingest document with Karak extraction
result = pod.ingest("""
Recruiter scheduled final interview with candidate Maria Garcia for the Data Science role.
""")

print(f"Extracted {len(result.memories)} Karak roles")

[3] Retrieve Context

# Retrieve context using Karak-based query
context = mantr.walk(
    query="Recruiter",
    pod="recruitment-pipeline",
    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