# ANN Insert Operator: MilvusClient


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## Desription

Insert data into Milvus collections. **Please make sure you have [created Milvus Collection](https://milvus.io/docs/v2.0.x/create_collection.md) before loading the data.**

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## Code Example

### Example


```python
import towhee

from towhee import ops

p = (
        towhee.pipe.input('vec')
        .map('vec', (), ops.ann_insert.milvus_client(host='127.0.0.1', port='19530', collection_name='test_collection'))
        .output()
        )

p(vec)
```

### Load Collection

> Please load the Collection after inserted data.

```python
collection.load()
```

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## Factory Constructor

Create the operator via the following factory method:

***ann_insert.milvus_client(host, port, collection_name, user= None, password=None, collection_schema=None, index_params=None)***

**Parameters:**

***host:*** *str*

The host for Milvus.

***port:*** *str*

The port for Milvus.

***collection_name:*** *str*

The collection name for Milvus.

***user:*** *str*

The user for Zilliz Cloud, defaults to None.

***password:*** *str*

The password for Zilliz Cloud, defaults to None.



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## Interface

Insert Milvus data.

**Parameters:**

***data:*** *list*

The data to insert into milvus.

**Returns:** MutationResult

A MutationResult object contains `insert_count` represents how many and a `primary_keys` of primary keys.




# More Resources

- [Introducing Milvus 2.3.4 - Zilliz blog](https://zilliz.com/blog/what-is-new-in-milvus-2-3-4): Introducing Milvus 2.3.4 with the support for Access Logs, Parquet File imports, expanded collections/partitions, and more!
- [Milvus support for multiple Index types - Zilliz blog](https://zilliz.com/blog/Milvus-Index-Types-Supported): One of the essential features of Milvus is the support for various Index types; Indexes help to optimize data querying and retrieval.
- [Optimizing Data Communication: Milvus Embraces NATS Messaging - Zilliz blog](https://zilliz.com/blog/optimizing-data-communication-milvus-embraces-nats-messaging): Introducing the integration of NATS and Milvus, exploring its features, setup and migration process, and performance testing results.
- [.NET SDK for the Milvus Open Source Vector Database](https://zilliz.com/product/integrations/.NET): nan
- [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
- [JSON and Metadata Filtering in Milvus - Zilliz blog](https://zilliz.com/blog/json-metadata-filtering-in-milvus): A brief review of how to ingest your data with JSON in your Milvus vector database