Comments (1)
too little information. try providing more info such as schema, index, index params etc
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Related Issues (20)
- [Enhancement]: Refine max length exceeded error message HOT 5
- [QUESTION]: [describe_collection] retry:10, cost: 3.00s, reason: <_MultiThreadedRendezvous: StatusCode.UNAVAILABLE, failed to connect to all addresses; HOT 4
- [Bug]: Milvus 连接错误: <_InactiveRpcError of RPC that terminated with: status = StatusCode.UNAUTHENTICATED details = "missing authorization in header" debug_error_string = "UNKNOWN:Error received from peer {grpc_message:"missing authorization in header", grpc_status:16, created_time:"2024-07-31T14:52:52.605898+08:00"}" > HOT 5
- [Bug]: <MilvusException: (code=65535, message=the length(38400) of float data should divide the dim(1024))> HOT 1
- [Bug]: connections.connection() uri option isn't documented as creating a local file HOT 1
- [Enhancement]: Rename is_major to is_clustering HOT 2
- [Bug]: gRPC handler is reraising Exceptions in a way that breaks low-level Python Exception tracking HOT 6
- [Bug]: 溢出,无法新增数据
- [FEATURE]: When connect to cluster failed, the error message is confusing HOT 2
- [Enhancement]: function hybrid_search missing in the class MilvusClient HOT 1
- [QUESTION]: Do we need to fit the BM25 model [BM25EmbeddingFunction.fit(corpus)] every time a new entity is added? HOT 1
- [QUESTION]: milvus startup question HOT 2
- [Bug]: Pymilvus 2.4.5 depends on numpy <1.25.0 HOT 2
- [FEATURE]: Do we need to require an upper limit version of grpc? HOT 2
- [Bug]: offset does not take effect when it is in param["params"] HOT 2
- [Enhancement]: Support Milvus SearchGroupBy Size and HybridSearchGroupBy
- [QUESTION]: Sparse Embedding add and delete HOT 7
- [Bug]: Search reduce result is unexpected
- [Enhancement]: Add iterator tag on sdk-side for query iterator
- [Bug]: search doesn't support jacard, error: vector type must be the same, field tag_embedding - type VECTOR_BINARY, search info type VECTOR_FLOAT
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