milvus-client/README.md

# ANN Search Operator: MilvusClient

*author: junjie.jiangjjj*

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## Desription
Search embedding in [Milvus](https://milvus.io/), **please make sure you have inserted data to Milvus Collection**.

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## 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()
```

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## Factory Constructor

Create the operator via the following factory method:

***ann_search.milvus_client(host='127.0.0.1', port='19530', collection_name='textdb')***


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# More Resources

- [Tokopedia Achieved a 10x Smarter Search with Milvus](https://zilliz.com/customers/tokopedia): Indonesia's largest e-commerce platform, Tokopedia's quest for superior search functionality, led them to Milvus, a game-changer in semantic search.
- [Spring AI and Milvus: Using Milvus as a Spring AI Vector Store - Zilliz blog](https://zilliz.com/blog/spring-ai-and-milvus-using-milvus-as-spring-ai-vector-store): A comprehensive guide on how to use Milvus as a Spring AI vector store
- [ArXiv Papers Vector Similarity Search with Milvus 2.1 - Zilliz blog](https://zilliz.com/blog/Arxiv-scientific-papers-vector-similarity-search): Run semantic search queries on ~640K papers in <50ms using Dask, SBERT SPECTRE, and Milvus Vector database
- [Unlock Advanced Recommendation Engines with Milvus' New Range Search - Zilliz blog](https://zilliz.com/blog/unlock-advanced-recommendation-engines-with-milvus-new-range-search): Exploring Milvus’s newly released range search feature, how it differs from the traditional KNN search, and when to use it.
- [Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search - Zilliz Newsroom; Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search](https://zilliz.com/news/Milvus%202.4-Unveils-Game-Changing-Features-for-Enhanced-Vector-Search): Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search