{
  "generated_at": "2026-04-12T19:01:35.944795+00:00",
  "baseline_file": "baseline.json",
  "drift_file": "drift.json",
  "model": "all-MiniLM-L6-v2",
  "thresholds": {
    "degraded": 0.05,
    "review": 0.1
  },
  "overall_status": "review_required",
  "summary": {
    "healthy": 6,
    "degraded": 1,
    "review_required": 1
  },
  "queries": [
    {
      "query": "How does attention work in transformer models?",
      "state": "degraded",
      "delta": 0.062002,
      "baseline_dist": 0.32873,
      "drifted_dist": 0.390732,
      "baseline_source": "transformer-deep-learning-architecture",
      "drifted_source": "attention-machine-learning",
      "source_changed": true
    },
    {
      "query": "What causes hallucinations in large language models?",
      "state": "review_required",
      "delta": 0.101466,
      "baseline_dist": 0.332894,
      "drifted_dist": 0.43436,
      "baseline_source": "hallucination-artificial-intelligence",
      "drifted_source": "large-language-model",
      "source_changed": true
    },
    {
      "query": "How does retrieval-augmented generation improve accuracy?",
      "state": "healthy",
      "delta": 0.008859,
      "baseline_dist": 0.452926,
      "drifted_dist": 0.461785,
      "baseline_source": "retrieval-augmented-generation",
      "drifted_source": "prompt-engineering",
      "source_changed": true
    },
    {
      "query": "What is the difference between dense and sparse retrieval?",
      "state": "healthy",
      "delta": 0.028711,
      "baseline_dist": 0.498883,
      "drifted_dist": 0.527594,
      "baseline_source": "retrieval-augmented-generation",
      "drifted_source": "information-retrieval",
      "source_changed": true
    },
    {
      "query": "How are word embeddings trained?",
      "state": "healthy",
      "delta": 0.0,
      "baseline_dist": 0.32385,
      "drifted_dist": 0.32385,
      "baseline_source": "word2vec",
      "drifted_source": "word2vec",
      "source_changed": false
    },
    {
      "query": "What is cosine similarity used for in semantic search?",
      "state": "healthy",
      "delta": 0.0,
      "baseline_dist": 0.267235,
      "drifted_dist": 0.267235,
      "baseline_source": "cosine-similarity",
      "drifted_source": "cosine-similarity",
      "source_changed": false
    },
    {
      "query": "How does fine-tuning differ from pretraining?",
      "state": "healthy",
      "delta": 0.0,
      "baseline_dist": 0.347872,
      "drifted_dist": 0.347872,
      "baseline_source": "fine-tuning-deep-learning",
      "drifted_source": "fine-tuning-deep-learning",
      "source_changed": false
    },
    {
      "query": "What are the main challenges in information retrieval evaluation?",
      "state": "healthy",
      "delta": 0.0,
      "baseline_dist": 0.435575,
      "drifted_dist": 0.435575,
      "baseline_source": "information-retrieval",
      "drifted_source": "information-retrieval",
      "source_changed": false
    }
  ]
}