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## Description
<!-- Provide a clear description of the changes in this PR -->
• Created DirectLLMEvalAdapter - a lightweight alternative to DeepEval
for answer evaluation
• Added evaluation prompt files defining scoring criteria and format
• Made adapter selectable via evaluation_engine = "DirectLLM" in config,
supports "correctness" metric only
## 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**
- Introduced a new evaluation method that compares model responses
against a reference answer using structured prompt templates. This
approach enables automated scoring (ranging from 0 to 1) along with
brief justifications.
- **Enhancements**
- Updated the configuration to clearly distinguish between evaluation
options, providing end-users with a more transparent and reliable
assessment process.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .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 -->
