Documentation Index
Fetch the complete documentation index at: https://docs.clarifeye.ai/llms.txt
Use this file to discover all available pages before exploring further.
Ground truths are validated question-answer pairs used for evaluation and training.
Create Ground Truth
# Manually create a ground truth
ground_truth = warehouse.create_ground_truth(
query="What is the company's revenue in 2023?",
answer="The company's revenue in 2023 was $50 million.",
additional_notes="Extracted from annual report page 5",
source_feedback_id=None # Optional: link to a feedback
)
List Ground Truths
# List all ground truths
ground_truths = warehouse.list_ground_truths()
for gt in ground_truths:
print(f"Query: {gt['query']}")
print(f"Answer: {gt['answer']}")
Update Ground Truth
# Update an existing ground truth
updated_gt = warehouse.update_ground_truth(
ground_truth_id="gt-id",
query="Updated question?",
answer="Updated answer.",
additional_notes="Updated notes"
)
Delete Ground Truth
# Delete a ground truth
warehouse.delete_ground_truth(ground_truth_id="gt-id")