Comments (2)
/assign @yhmo
from pymilvus.
Already done: #2128
Released in pymilvus v2.4.4
from pymilvus.
Related Issues (20)
- [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
- [Bug]: Async operation is not working as expected for search in collection by using pymilvus
- [Bug]: _fast_create_collection shouldn't assume AUTOINDEX, if not schema is provided in the arguments
- [Enhancement]: support ipv6 HOT 1
- pymilvus fails to connect / instantiate a db server locally on AWS SageMaker
- [Bug]:The ElementType value is not set in InsertRequest for the array data type.
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