sqlite-vec/benchmarks-ann/seed/Makefile

BASE_URL = https://assets.zilliz.com/benchmark/cohere_medium_1m

PARQUETS = train.parquet test.parquet neighbors.parquet

.PHONY: all download base.db clean

all: base.db

download: $(PARQUETS)

train.parquet:
	curl -L -o $@ $(BASE_URL)/train.parquet

test.parquet:
	curl -L -o $@ $(BASE_URL)/test.parquet

neighbors.parquet:
	curl -L -o $@ $(BASE_URL)/neighbors.parquet

base.db: $(PARQUETS) build_base_db.py
	uv run --with pandas --with pyarrow python build_base_db.py

clean:
	rm -f base.db
Add ANN search support for vec0 virtual table (#273) 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. 2026-03-31 01:03:32 -07:00			`BASE_URL = https://assets.zilliz.com/benchmark/cohere_medium_1m`

			`PARQUETS = train.parquet test.parquet neighbors.parquet`

			`.PHONY: all download base.db clean`

			`all: base.db`

			`download: $(PARQUETS)`

			`train.parquet:`
			`curl -L -o $@ $(BASE_URL)/train.parquet`

			`test.parquet:`
			`curl -L -o $@ $(BASE_URL)/test.parquet`

			`neighbors.parquet:`
			`curl -L -o $@ $(BASE_URL)/neighbors.parquet`

			`base.db: $(PARQUETS) build_base_db.py`
			`uv run --with pandas --with pyarrow python build_base_db.py`

			`clean:`
			`rm -f base.db`