Comments (2)
Why do vectors have multiple dimensions? Is it because a single model can generate vectors of different dimensions, or because multiple models are used?
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Thanks,I might be a bit of a ditz
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Related Issues (20)
- [Bug]: [milvus_client] Get interface returns empty when "ids" is a list of string for string primary key HOT 1
- [QUESTION]: How to filter sparse vector field (metric_type=IP) 如何对sparse field 进行range查询? HOT 1
- [QUESTION]: Search()中limit参数无法控制返回数量。 HOT 1
- [Bug]: failed to flush collection HOT 1
- [QUESTION]:
- [Enhancement]: multi vector search using new MilvusClient SDK
- [Enhancement]: Reduce pymilvus package size HOT 6
- Can't run Flask+gevent with milvus connections.connect HOT 3
- [Enhancement]: Raise exception if RPC error occurs
- [Bug]: Spark Milvus Connector DataType.ARRAY HOT 1
- [QUESTION]: Why does ORM-style API seem to outperform MilvusClient in database search operations?
- [Bug]: bulkwriter does not support add row for new json datatype HOT 1
- [Enhancement]: Supports f16 and bf16 datatype for bulk writer HOT 1
- [Bug]: Attu up_time is negative
- [Bug]: [create_partition], <_MultiThreadedRendezvous: StatusCode.UNIMPLEMENTED, HOT 2
- [QUESTION]: Is it possible to test milvus offline by ann_benchmark on Centos?
- [Bug]: Failed to create sparse vector index
- search中limit设置为5只返回一个数据
- [Bug]: <MilvusException: (code=1, message=Unexpected error, message=<Cannot invoke RPC: Channel closed!>)>
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