{ "commit": "dff5977ab638896cc8685c78ee41e5195fc0fbf2", "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": 0.665644496002642, "build_seconds": 1421.0276969089973, "texts_per_second": 108.2716405420302, "repair_seconds": 1.2946931579936063, "writes": 50, "write_latency": { "queries": 50, "mean": 0.5204645371803781, "p50": 0.5183807220018934, "p95": 0.5429989652060613, "max": 0.5760761429992272 }, "probes": 300, "probe_modalities": [ "code", "image", "pdf", "ui_screenshot", "video" ], "latency": { "queries": 300, "mean": 0.07861847096656371, "p50": 0.07557305500085931, "p95": 0.09303550984986941, "max": 0.123588470989489 }, "encode_latency": { "queries": 300, "mean": 0.014255492710411393, "p50": 0.012439899503078777, "p95": 0.025788354348333098, "max": 0.0513256230042316 }, "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, "assumption": "sqlite-vec 0.1.9 scans every vector, so latency and bytes grow linearly with the count; the model, the machine and the thread budget stay the same", "p50_seconds": 0.45533342773137386, "p95_seconds": 0.5605460517666694, "write_p50_seconds": 3.1232834376789804, "gibibytes": 1.6105050507025191, "build_seconds": 9236.028889871746 }, "machine": { "system": "Linux", "release": "6.18.40.1-microsoft-standard-WSL2", "cpus": 32, "threads_per_query": 4, "load_average_1_5_15": [ 3.18, 4.58, 5.42 ] } }