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landing_page/qdrant-landing/content/documentation/headless/snippets/edge/quickstart/python.py
T
Abdon Pijpelink 96e837001a Test Edge code snippets (#2179)
* Add Edge and FastEmbed as Python dependencies

* Make Edge code snippets testable
2026-03-02 14:27:56 +01:00

75 lines
1.6 KiB
Python

# @block-start create-storage-directory
from pathlib import Path
SHARD_DIRECTORY = "./qdrant-edge-directory"
Path(SHARD_DIRECTORY).mkdir(parents=True, exist_ok=True)
# @block-end create-storage-directory
# @block-start configure-edge-shard
from qdrant_edge import (
Distance,
EdgeConfig,
VectorDataConfig,
)
VECTOR_NAME="my-vector"
VECTOR_DIMENSION=4
config = EdgeConfig(
vector_data={
VECTOR_NAME: VectorDataConfig(
size=VECTOR_DIMENSION,
distance=Distance.Cosine,
)
}
)
# @block-end configure-edge-shard
# @block-start initialize-edge-shard
from qdrant_edge import EdgeShard
edge_shard = EdgeShard(SHARD_DIRECTORY, config)
# @block-end initialize-edge-shard
# @block-start upsert-points
from qdrant_edge import ( Point, UpdateOperation )
point = Point(
id=1,
vector={VECTOR_NAME: [0.1, 0.2, 0.3, 0.4]},
payload={"color": "red"}
)
edge_shard.update(UpdateOperation.upsert_points([point]))
# @block-end upsert-points
# @block-start retrieve-point
point = edge_shard.retrieve(
point_ids=[1],
with_payload=True,
with_vector=False
)
# @block-end retrieve-point
# @block-start query-points
from qdrant_edge import Query, QueryRequest
results = edge_shard.query(
QueryRequest(
query=Query.Nearest([0.2, 0.1, 0.9, 0.7], using=VECTOR_NAME),
limit=10,
with_vector=False,
with_payload=True
)
)
# @block-end query-points
# @block-start close-edge-shard
edge_shard.close()
# @block-end close-edge-shard
# @block-start load-edge-shard
edge_shard = EdgeShard(SHARD_DIRECTORY)
# @block-end load-edge-shard