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1d8c46a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | """Build the vector store from data/dataset/chunks.jsonl.
python scripts/build_vectorstore.py # tfidf (offline default)
python scripts/build_vectorstore.py --backend sbert # dense embeddings
python scripts/build_vectorstore.py --backend openai # OpenAI-compatible API
"""
import argparse
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parent))
from vectorstore import build_index # noqa: E402
ROOT = Path(__file__).resolve().parent.parent
if __name__ == "__main__":
ap = argparse.ArgumentParser()
ap.add_argument("--chunks", default=str(ROOT / "data" / "dataset" / "chunks.jsonl"))
ap.add_argument("--out", default=str(ROOT / "vectorstore"))
ap.add_argument("--backend", default="tfidf", choices=["tfidf", "sbert", "openai"])
ap.add_argument("--provider", default=None, help="cloud embedding provider preset, e.g. siliconflow / zhipu / qwen")
ap.add_argument("--model", default=None)
args = ap.parse_args()
build_index(args.chunks, args.out, backend=args.backend, model=args.model, provider=args.provider)
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