# ANN Search Operator: MilvusClient *author: junjie.jiangjjj*
## Desription Search embedding in [Milvus](https://milvus.io/), **please make sure you have inserted data to Milvus Collection**.
## Code Example > Please make sure you have inserted data into Milvus, refer to [ann_insert.milvus_client](https://towhee.io/ann-insert/milvus-client) and [load the collection](https://milvus.io/docs/v2.1.x/load_collection.md) to memory. ```python from towhee import pipe, ops, DataCollection p = pipe.input('text') \ .map('text', 'vec', ops.sentence_embedding.transformers(model_name='all-MiniLM-L12-v2')) \ .flat_map('vec', 'rows', ops.ann_search.milvus_client(host='127.0.0.1', port='19530', collection_name='text_db2', **{'output_fields': ['text']})) \ .map('rows', ('id', 'score', 'text'), lambda x: (x[0], x[1], x[2])) \ .output('id', 'score', 'text') DataCollection(p('cat')).show() # result: ``` ```python from towhee import pipe, ops # search additional info url: from towhee import pipe, ops, DataCollection p = pipe.input('text') \ .map('text', 'vec', ops.sentence_embedding.transformers(model_name='all-MiniLM-L12-v2')) \ .map('vec', 'rows', ops.ann_search.milvus_client(host='127.0.0.1', port='19530', collection_name='text_db2', **{'output_fields': ['text']})) \ .output('rows') DataCollection(p('cat')).show() ```
## Factory Constructor Create the operator via the following factory method: ***ann_search.milvus_client(host='127.0.0.1', port='19530', collection_name='textdb')***