{
    "version":  "v7.0",
    "debounce_ms":  10,
    "result_limit":  12,
    "candidate_limit":  220,
    "rerank_limit":  100,
    "rrf_k":  60,
    "phases":  [
                   "instant compact index",
                   "binary BM25",
                   "exact entities",
                   "character trigrams",
                   "local semantic exact scan",
                   "RRF",
                   "contextual reranking",
                   "diagnostic aggregation"
               ],
    "weights":  {
                    "exact_model":  72,
                    "fuzzy_model":  38,
                    "model_mismatch":  -140,
                    "exact_brand":  22,
                    "exact_symptom":  58,
                    "same_family":  18,
                    "vehicle_match":  24,
                    "vehicle_mismatch":  -75,
                    "context_token":  4.2,
                    "title_phrase":  30,
                    "quality":  5,
                    "error_code":  45,
                    "voltage":  15,
                    "percentage":  12
                },
    "assets":  {
                   "instant":  "search/data/instant-core.json",
                   "docs":  "search/data/diagnostic-docs.json",
                   "bm25_meta":  "search/data/bm25-meta.json",
                   "bm25_postings":  "search/data/bm25-postings.bin",
                   "doc_lengths":  "search/data/doc-lengths.bin",
                   "trigram_meta":  "search/data/trigram-meta.json",
                   "trigram_postings":  "search/data/trigram-postings.bin",
                   "trigram_counts":  "search/data/trigram-counts.bin",
                   "semantic_meta":  "search/data/semantic-meta.json",
                   "semantic_vectors":  "search/data/semantic-vectors.bin",
                   "entity":  "search/data/entity-index-v6.json",
                   "models":  "data/catalog/models.json",
                   "symptoms":  "data/catalog/symptoms.json",
                   "instant_postings_meta":  "search/data/instant-postings-v61-meta.json",
                   "instant_postings_bin":  "search/data/instant-postings-v61.bin"
               },
    "performance":  {
                        "worker":  true,
                        "phased_loading":  true,
                        "stale_query_cancellation":  true,
                        "service_worker_cache":  true,
                        "precompressed_assets":  true,
                        "instant_inverted_index":  true
                    },
    "notes":  [
                  "Instant phase uses a compact token-to-document inverted index and only scores a candidate pool.",
                  "Full phase combines binary BM25, exact entities, fuzzy trigrams, local semantic vectors, RRF and contextual reranking.",
                  "Exact vector scan is used for 20,000 records to avoid approximate-neighbor misses.",
                  "Optional neural reranking should run only after submit or an intentional pause."
              ]
}