{
  "metadata": {
    "report_title": "Beyond Keyword Matching: 768-Dimensional Semantic Vector Search for Engineers",
    "canonical_url": "https://jobspiq.in/blog/why-keyword-search-fails-engineering-hiring",
    "sample_size": 5000,
    "period": "2026 Benchmark Study",
    "metric_definition": "Composite Retrieval Benchmark Score (0-100 scale) evaluating Mean Reciprocal Rank (MRR@10) and semantic domain relevance across 5,000 profile-job pairs.",
    "license": "CC BY 4.0",
    "attribution": "Jobspiq (https://jobspiq.in)"
  },
  "retrieval_progression_index": [
    {
      "methodology": "Lexical Keyword Query",
      "retrieval_benchmark_score": 41
    },
    {
      "methodology": "BM25 with Strict Filters",
      "retrieval_benchmark_score": 56
    },
    {
      "methodology": "768D Vector Embeddings (Nomic)",
      "retrieval_benchmark_score": 84
    },
    {
      "methodology": "Vector + BGE CrossEncoder Reranking",
      "retrieval_benchmark_score": 92
    }
  ],
  "heuristic_penalty_weights": {
    "tech_silo_mismatch_penalty": -0.45,
    "non_engineering_title_penalty": -0.7,
    "seniority_mismatch_penalty": -0.8,
    "core_stack_weight_multiplier": 3.0
  }
}