mirror of
https://github.com/asg017/sqlite-vec.git
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0de765f457
Add approximate nearest neighbor infrastructure to vec0: shared distance dispatch (vec0_distance_full), flat index type with parser, NEON-optimized cosine/Hamming for float32/int8, amalgamation script, and benchmark suite (benchmarks-ann/) with ground-truth generation and profiling tools. Remove unused vec_npy_each/vec_static_blobs code, fix missing stdint.h include.
35 lines
1.2 KiB
SQL
35 lines
1.2 KiB
SQL
-- Canonical results schema for vec0 KNN benchmark comparisons.
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-- The index_type column is a free-form TEXT field. Baseline configs use
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-- "baseline"; index-specific branches add their own types (registered
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-- via INDEX_REGISTRY in bench.py).
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CREATE TABLE IF NOT EXISTS build_results (
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config_name TEXT NOT NULL,
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index_type TEXT NOT NULL,
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subset_size INTEGER NOT NULL,
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db_path TEXT NOT NULL,
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insert_time_s REAL NOT NULL,
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train_time_s REAL, -- NULL when no training/build step is needed
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total_time_s REAL NOT NULL,
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rows INTEGER NOT NULL,
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file_size_mb REAL NOT NULL,
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created_at TEXT NOT NULL DEFAULT (datetime('now')),
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PRIMARY KEY (config_name, subset_size)
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);
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CREATE TABLE IF NOT EXISTS bench_results (
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config_name TEXT NOT NULL,
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index_type TEXT NOT NULL,
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subset_size INTEGER NOT NULL,
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k INTEGER NOT NULL,
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n INTEGER NOT NULL,
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mean_ms REAL NOT NULL,
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median_ms REAL NOT NULL,
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p99_ms REAL NOT NULL,
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total_ms REAL NOT NULL,
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qps REAL NOT NULL,
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recall REAL NOT NULL,
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db_path TEXT NOT NULL,
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created_at TEXT NOT NULL DEFAULT (datetime('now')),
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PRIMARY KEY (config_name, subset_size, k)
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);
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