{ "commit": "71733d86d6d27d1f1ebb75205d5e0599f253f791", "database": "bench/runs/dense_scale/data/ely_eye.sqlite", "atoms": 165973, "memories_with_words": 153857, "vectors": 153857, "pending": 0, "dim": 384, "model": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2", "copy_seconds": 4.653337935000309, "build_seconds": 1444.851663221998, "texts_per_second": 106.48636390596745, "repair_seconds": 1.2708722250099527, "writes": 50, "write_latency": { "queries": 50, "mean": 0.5132235406010295, "p50": 0.50813193799695, "p95": 0.5353954541016719, "max": 0.5569016869994812 }, "probes": 300, "probe_modalities": [ "code", "image", "pdf", "ui_screenshot", "video" ], "latency": { "queries": 300, "mean": 0.07290171435301697, "p50": 0.07302105800044956, "p95": 0.07570205154406721, "max": 0.08561979999649338 }, "encode_latency": { "queries": 300, "mean": 0.012841759066456385, "p50": 0.011289245005173143, "p95": 0.024048260039126034, "max": 0.02614720400015358 }, "correctness": { "probes": 40, "top_k": 10, "tie_aware_agreement": 0.9975, "note": "a returned atom counts when its true cosine is at least the k-th best, so ties cannot fail the check" }, "bytes_per_vector": 1729.2666307025354, "vector_bytes": 266059776, "bytes_method": "dbstat page sizes over the vec0 shadow tables", "extrapolation": { "to": 1000000, "basis": 153857, "assumption": "sqlite-vec 0.1.9 scans every vector, so latency and bytes grow linearly with the vector count; every row here is scaled by 1000000 / 153857 vectors, and the model, the machine and the thread budget stay the same", "p50_seconds": 0.47460341746199103, "p95_seconds": 0.49202864701682225, "write_p50_seconds": 3.3026247619344584, "gibibytes": 1.6105050507025191, "build_seconds": 9390.873754343305 }, "machine": { "system": "Linux", "release": "6.18.40.1-microsoft-standard-WSL2", "cpus": 32, "threads_per_query": 4, "load_average_1_5_15": [ 3.53, 4.63, 4.85 ] } }