Milvus

This plugin is currently in beta. While it is considered safe for use, please be aware that its API could change in ways that are not compatible with earlier versions in future releases, or it might become unsupported.

Milvus Embedding Store

yaml
type: "io.kestra.plugin.ai.embeddings.Milvus"

Examples

Ingest documents into a Milvus embedding store.

yaml
id: document-ingestion
namespace: company.team

tasks:
  - id: ingest
    type: io.kestra.plugin.ai.rag.IngestDocument
    provider:
      type: io.kestra.plugin.ai.provider.GoogleGemini
      modelName: gemini-embedding-exp-03-07
      apiKey: "{{ secret('GEMINI_API_KEY') }}"
    embeddings:
      type: io.kestra.plugin.ai.embeddings.Milvus
      token: "{{ secret('MILVUS_TOKEN') }}"
      uri: "http://localhost:19200"
      collectionName: embeddings
    fromExternalURLs:
      - https://raw.githubusercontent.com/kestra-io/docs/refs/heads/main/content/blogs/release-0-22.md

Properties

token *string

The token

autoFlushOnDelete booleanstring

Whether to auto flush on delete

autoFlushOnInsert booleanstring

Whether to auto flush on insert

collectionName string

The collection name

If there is no such collection yet, it will be created automatically. Default value: "default".

consistencyLevel string

The consistency level

databaseName string

The database name

If not provided, the default database will be used.

host string

The host

Default value: "localhost"

idFieldName string

The id field name

indexType string

The index type

metadataFieldName string

The metadata field name

metricType string

The metric type

password string

The password

If user authentication and TLS is enabled, this parameter is required. See: https://milvus.io/docs/authenticate.md

port integerstring

The port

Default value: "19530"

retrieveEmbeddingsOnSearch booleanstring

Whether to retrieve embeddings on search

textFieldName string

The text field name

uri string

The uri

username string

The username

If user authentication and TLS is enabled, this parameter is required. See: https://milvus.io/docs/authenticate.md

vectorFieldName string

The vector field name

​Milvus

Milvus