6a0c0e3ef8
<!-- .github/pull_request_template.md --> This PR contains the evaluation framework development for cognee ## DCO Affirmation I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **New Features** - Expanded evaluation framework now integrates asynchronous corpus building, question answering, and performance evaluation with adaptive benchmarks for improved metrics (correctness, exact match, and F1 score). - **Infrastructure** - Added database integration for persistent storage of questions, answers, and metrics. - Launched an interactive metrics dashboard featuring advanced visualizations. - Introduced an automated testing workflow for continuous quality assurance. - **Documentation** - Updated guidelines for generating concise, clear answers. <!-- end of auto-generated comment: release notes by coderabbit.ai -->
15 lines
439 B
Python
15 lines
439 B
Python
from datetime import datetime, timezone
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from uuid import uuid4
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from sqlalchemy import Column, DateTime, JSON, UUID
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from cognee.modules.data.models.answers_base import AnswersBase
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class Answers(AnswersBase):
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__tablename__ = "eval_answers"
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id = Column(UUID, primary_key=True, default=uuid4)
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payload = Column(JSON, nullable=False)
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created_at = Column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc))
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