# 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')***