Encode into MilvusIndex pipeline stage configuration specifications
The Encode into Milvus index stage invokes a machine learning model to encode a field and store it into Milvus.
Update and delete semantics are not supported on individual items in a Milvus collection. We recommend that you use a blue/green set of collections: reindex to apply updates to an empty Milvus collection, then swap between collections to apply the updates.
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When entering configuration values in the UI, use unescaped characters, such as \t for the tab character. When entering configuration values in the API, use escaped characters, such as \\t for the tab character.
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Invokes a machine learning model to encode a field and store it into Milvus.
skip - boolean
Set to true to skip this stage.
Default: false
label - string
A unique label for this stage.
<= 255 characters
condition - string
Define a conditional script that must result in true or false. This can be used to determine if the stage should process or not.
modelId - stringrequired
ID of Model used to encode the vector
modelOutputVector - stringrequired
The name of the model output vector that stores the encoded data.
Default: vector
fieldToEncode - stringrequired
Name of field to encode and store in Milvus.
milvusCollection - stringrequired
The name of the collection in Milvus that will be used to store the model output vector.
failOnError - boolean
Flag to indicate if this stage should throw an exception if an error occurs while generating a prediction for a document.
Default: false