{
  "schema": "pg36-ch15-release-proposal-v1",
  "release": "1.3-proposal",
  "fixture": "ch15-search-v1",
  "target": {
    "database": "pg36_shop",
    "schema": "shop_ch15",
    "owner": "pg36_owner",
    "application_role": "pg36_app",
    "postgresql": "14-18",
    "validated_on": "18.4",
    "pg_trgm": "1.6",
    "vector": "0.8.4",
    "pigsty_reference": "4.4",
    "pigsty_l1_validation": "not-run"
  },
  "decision": {
    "primary_candidate_generation": [
      "PostgreSQL full-text search",
      "pg_trgm fuzzy matching",
      "exact pgvector search"
    ],
    "fusion": "equal-weight reciprocal rank fusion",
    "rrf_k": 60,
    "source_depth": 4,
    "serving_depth": 3,
    "quality_path": "exact vector search",
    "ann_role": "separately measured serving-path candidate"
  },
  "contracts": {
    "products": 17,
    "active_products": 16,
    "queries": 8,
    "judgments": 24,
    "embedding_model": "pg36-handcrafted-topic-4d-v1",
    "embedding_dimensions": 4,
    "distance": "L2",
    "text_search_configuration": "pg_catalog.english",
    "title_weight": "A",
    "description_weight": "B",
    "fts_index": "GIN",
    "fuzzy_index": "GIN",
    "vector_index": "HNSW",
    "application_write_sqlstate": "42501",
    "inactive_product_never_ranked": 17
  },
  "quality_at_3": {
    "fuzzy": {
      "mean_precision": "0.916667",
      "mean_recall": "0.916667",
      "mrr": "1.000000",
      "mean_ndcg": "0.942881",
      "min_ndcg": "0.842828"
    },
    "hybrid_rrf": {
      "mean_precision": "1.000000",
      "mean_recall": "1.000000",
      "mrr": "1.000000",
      "mean_ndcg": "0.962929",
      "min_ndcg": "0.759192"
    },
    "lexical": {
      "mean_precision": "0.291667",
      "mean_recall": "0.291667",
      "mrr": "0.750000",
      "mean_ndcg": "0.613043",
      "min_ndcg": "0.000000"
    },
    "vector_exact": {
      "mean_precision": "1.000000",
      "mean_recall": "1.000000",
      "mrr": "1.000000",
      "mean_ndcg": "0.817314",
      "min_ndcg": "0.631039"
    }
  },
  "ann_probe": {
    "query": "q06",
    "exact_ids": "7,8,9",
    "hnsw_ids": "7,8,9",
    "recall_at_3": "1.000000",
    "claim": "mechanics and measurement path only"
  },
  "expected_state": {
    "business_checksum": "c637abf09edba88b7793f91201a57c34"
  },
  "evidence": [
    "manifest.txt",
    "corpus.csv",
    "queries.csv",
    "judgments.csv",
    "document-catalog.csv",
    "fts-analysis.csv",
    "index-catalog.csv",
    "size-catalog.csv",
    "security-catalog.csv",
    "quality-summary.csv",
    "quality-detail.csv",
    "ranking-results.csv",
    "ann-compare.csv",
    "fts-plan.txt",
    "trigram-plan.txt",
    "vector-exact-plan.txt",
    "vector-hnsw-plan.txt",
    "vector-filtered-plan.txt",
    "app-query.csv",
    "app-write.stderr",
    "final-state.csv",
    "verify.txt"
  ],
  "rollback": {
    "token": "RESET_CH15_SEARCH_LAB",
    "target": "pg36_shop/shop_ch15",
    "requires_no_active_workers": true,
    "requires_exact_markers": true,
    "uses_cascade": false,
    "preserves_ch14_extensions": true
  },
  "limitations": [
    "All quality numbers describe only the frozen eight-query synthetic evaluation set.",
    "The handcrafted vectors do not estimate the quality of any embedding model.",
    "The tiny corpus cannot establish latency, throughput, memory, WAL, build time, or index-size targets.",
    "Forced plans establish path availability, not planner preference or performance superiority.",
    "HNSW recall of one on one query does not establish production ANN recall.",
    "The direct PostgreSQL fixture does not claim a Pigsty L1 run."
  ]
}