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vector_search/dump_qdrant.py
2025-04-17 15:55:54 -04:00

22 lines
654 B
Python

from qdrant_client import QdrantClient
from qdrant_client.http import models
from qdrant_client.models import Distance, VectorParams
client = QdrantClient(host="localhost", port=6333)
collection_head = "nuggets_so400m"
out = client.scroll('nuggets_so400m',limit=10,with_vectors=True)
offset_id = None
#while True:
if True:
res = client.scroll(collection_name=collection_head,
limit=1000000,
offset=offset_id,
with_payload=False,
with_vectors=True);
# ou = np.asarray([x.vector for x in out[0]], dtype=np.float16)