MilvusQuery pipeline stage configuration specifications
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The Milvus Query stage is deprecated in Managed Fusion 5.9.5. Use Seldon or Lucidworks AI vector query stages instead.
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The Milvus Query stage performs vectors similarity search in Milvus.
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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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Perform vectors similarity search in 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
milvusResultsContextKey - stringrequired
Name of the context key that will be used to store results from Milvus.
>= 1 characters
Default: milvus_results
milvusVectorsCollection - stringrequired
Name of the vectors collection in Milvus that should be used to search for similar vectors.
>= 1 characters
milvusNumResults - integerrequired
Number of results to request from Milvus
Default: 10
milvusSearchParams - array[object]
Parameters that should be used to search in Milvus. Specific to the chosen IndexType. For example, good starting values might be ef=200 for HNSW index or nprobe=128 for IVF indexes.
object attributes:{param
: {
display name: Milvus Search Param
type: string
}value
: {
display name: Value
type: integer
}}
failOnError - boolean
Flag to indicate if this stage should throw an exception if an error occurs.
Default: false