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https://github.com/qdrant/qdrant-client.git
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qdrant-cloud-bot
71e86ec0b5
Warn that the serverless client is experimental and should not be used yet.
53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
"""
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Example of using the Qdrant Serverless client.
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**In development — do not use yet.** This client is experimental and unstable;
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it may change without notice and is not ready for production or general use.
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Collection management uses the simplified serverless API; point operations
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(query, upsert, ...) work exactly like in the regular client.
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"""
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from qdrant_client.models import PointStruct
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from qdrant_client.serverless.models import DenseVectorConfig, Distance, KeywordIndex
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from qdrant_client.serverless import QdrantServerless
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def main() -> None:
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client = QdrantServerless(
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url="https://serverless.plush-volt.aws.development-cloud.qdrant.io",
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api_key="<your api key>",
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)
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# make the example rerunnable: creating an existing collection raises ALREADY_EXISTS
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if client.collection_exists("my-collection"):
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client.delete_collection("my-collection")
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# serverless-specific collection management: no quantization, wal,
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# segment number etc. - the serverless manager decides those
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print(client.create_collection(
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"my-collection",
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dense_vectors=DenseVectorConfig(size=4, distance=Distance.COSINE),
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payload_indexes={"color": KeywordIndex()},
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))
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print(client.get_collections())
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print(client.get_collection("my-collection"))
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# point operations, same as in the regular client
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client.upsert(
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"my-collection",
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points=[
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PointStruct(id=1, vector=[0.1, 0.2, 0.3, 0.4], payload={"color": "red"}),
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PointStruct(id=2, vector=[0.4, 0.3, 0.2, 0.1], payload={"color": "blue"}),
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],
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)
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print(client.query_points("my-collection", query=[0.1, 0.2, 0.3, 0.4]))
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client.delete_collection("my-collection")
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client.close()
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if __name__ == "__main__":
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main()
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