Comments (2)
In that example, you can use client's connection for your collection.
collection = Collection("quick_setup", using=client._using)
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In that example, you can use client's connection for your collection.
collection = Collection("quick_setup", using=client._using)
Thanks for the suggestion!
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Related Issues (20)
- [Bug]: num_partitions does not take effect HOT 3
- [Enhancement]: Support database create, list and drop operations for Milvus client
- [Bug]: The error message is not clear enough when inserting rows HOT 2
- [Bug]: create index on json field is not supported: expected=supported field HOT 6
- [QUESTION]: Bulk insert supports uploading local files directly to S3 HOT 3
- [Bug]: db_name should return when list_connections called HOT 2
- [Bug]: illegal connection params or server unavailable HOT 8
- [Enhancement]: `infer_dtype_bydata` can not infer DataType.ARRAY HOT 4
- [QUESTION]: Loosen environs package requirement HOT 2
- [Bug]: TypeError: 'numpy.float64' object is not iterable
- [Bug]: TypeError("data type 'bfloat16' not understood" HOT 1
- [Enhancement]: add generic type in metaclass HOT 1
- MilvusClient(**conf).search检索向量相似数据的实现逻辑 HOT 1
- [Bug]: Can't create partition in Milvus running on Docker Compose HOT 2
- [Bug]: pymilvus 2.3.5- query iterator got error: grpc_status:13, grpc_message:"Received RST_STREAM with error code 2" HOT 1
- [QUESTION]: 请问hybrid_search中如果有sparse vector的检索,支持partition key吗 HOT 6
- [Bug]: Use Furthest Neighbor Search HOT 1
- [Bug]: ParamError(message=f"`{param_name}` value {param_value} is illegal") HOT 6
- [QUESTION]: Can we have different weights for each collection while doing a similarity search? HOT 1
- [Bug]: Flask debug mode and Milvus Local appear to conflict HOT 1
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