Python

search()

This method performs Approximate Nearest Neighbor (ANN) searches based on one or more vectors in a collection.

Invocation

search(
    collection_name,
    data,
    filter,
    limit,
    output_fields,
    search_params,
    timeout
)

Parameters

Parameter	Description	Type	Required
`collection_name`	Name of the collection to search.	String	True
`data`	Vector data to search.	list[]	True
`limit`	Number of results to return per search. Default value: 10.	Integer	False
`filter`	Filter used to search.	String	False
`output_fields`	A list of fields to return.	list[String]	False
`search_params`	Parameters used to search.	Dictionary	False
`timeout`	An optional duration of time in seconds to allow for the RPC. If it is set to None, the client keeps waiting until the server responds or error occurs.	Float	False

Return

A list of dictionaries, excluding vector embeddings.

Raises

ValueError: Error if the collection being searched does not exist.

Example

Search with a single vector:

from pymilvus import MilvusClient

client = MilvusClient(uri, token)

client.search(
    collection_name='medium_articles',
    data = [[-0.008266705,-0.009836753,0.04397694,-0.00025456678, ..., -0.016839132]],
    limit=5,
    output_fields=["title", "link"]
)

Perform a bulk search with multiple vectors:

from pymilvus import MilvusClient

client = MilvusClient(uri, token)

client.search(
    collection_name='medium_articles',
    data=[
            [-0.008266705,-0.009836753,0.04397694,-0.00025456678, ..., -0.016839132],
            [0.041732933, 0.013779674, -0.027564144, -0.013061441, ..., 0.030096486]
        ],
    limit=5,
    output_fields=["title", "link"]
)

Search with filter expressions in a fixed schema:

from pymilvus import MilvusClient

client = MilvusClient(uri, token)

client.search(
    collection_name='medium_articles',
    data = [[0.041732933, 0.013779674, -0.027564144, -0.013061441, ..., 0.030096486]],
    limit=5,
    filter="10 < reading_time < 15", # Filter articles with reading_time greater than 10 and less than 15.
    output_fields=["title", "link"]
)

Search with filter expressions in a dynamic schema:

from pymilvus import MilvusClient

client = MilvusClient(uri, token)

client.search(
    collection_name='medium_articles',
    data = [[0.041732933, 0.013779674, -0.027564144, -0.013061441, ..., 0.030096486]],
    limit=5,
    filter='$meta["claps"] > 30 and responses < 10',
    output_fields=['title', 'claps', 'responses']
)

The preceding code block shows how to access fields claps and responses that are not defined in the schema.

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