[Optional] Implement retrieval quality evaluation framework

[VirtualAgentics]

Description

Create a retrieval quality evaluation framework with test datasets and metrics to monitor search quality over time.

Background

Search quality needs to be monitored to detect regressions and measure improvements. An evaluation framework provides objective quality metrics.

Requirements

• Create small Q/A evaluation dataset
• Implement NDCG@k and hit@k metrics
• Add eval suite to CI for regression detection
• Track retrieval quality over time
• Document how to add custom eval datasets
• Add benchmarking tools
• Create evaluation dashboard

Implementation Details

Files to modify:

• evaluation/ - New evaluation module
• data/eval/ - Evaluation datasets
• src/contextforge_memory/evaluation/ - Evaluation framework
• tests/evaluation/ - Evaluation tests
• README.md - Evaluation documentation

Technical approach:

• Create evaluation framework
• Implement standard IR metrics
• Add CI integration for regression detection
• Create evaluation datasets
• Add benchmarking tools

Acceptance Criteria

• Eval suite runs in CI
• Metrics are tracked over time
• Regressions are detected
• Custom datasets can be added
• Benchmarking tools work

Testing Requirements

• Evaluation framework tests
• Metric calculation tests
• CI integration tests
• Benchmarking tests

Documentation Updates

• README.md - Evaluation guide
• Evaluation docs - Framework usage
• Metrics docs - Understanding metrics
• CI docs - Regression detection

Related Issues

• Depends on: P2 hybrid search, P2 re-ranking
• Blocks: None