ANN Insert Operator: MilvusClient

Desription

Insert data into Milvus collections. Please make sure you have created Milvus Collection before loading the data.

Code Example

Example

import towhee

from towhee import ops

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

p(vec)

Load Collection

Please load the Collection after inserted data.

collection.load()

Factory Constructor

Create the operator via the following factory method:

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

Parameters:

You must provide at least one valid value for uri or host/port. The order of use: uri > host/port, token > user/password.

uri: str

The uri for Milvus, defaults to "http://localhost:19530"

host: str

The host for Milvus.

port: str

The port for Milvus.

token: str

The token for Milvus.

user: str

The user for Zilliz Cloud, defaults to None.

password: str

The password for Zilliz Cloud, defaults to None.

Interface

Insert Milvus data.

Parameters:

collection_name: str

The collection name for Milvus.

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: 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: 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: 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: nan
• Spring AI and Milvus: Using Milvus as a Spring AI Vector Store - Zilliz blog: A comprehensive guide on how to use Milvus as a Spring AI vector store
• JSON and Metadata Filtering in Milvus - Zilliz blog: A brief review of how to ingest your data with JSON in your Milvus vector database