LWAI Vectorize QueryLucidworks AI
LWAI Vectorize Query is a Fusion query pipeline stage that generates a vector based on the current query string (q parameter).
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This feature is currently only available to clients who have contracted with Lucidworks for features related to Neural Hybrid Search and Lucidworks AI.
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This feature is only available in Managed Fusion 5.9.x for versions 5.9.6+.
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To use this stage, non-admin Fusion users must be granted the POST:/LWAI-ACCOUNT-NAME/**
permission in Fusion, which is the Lucidworks AI API Account Name defined in Lucidworks AI Gateway when this stage is configured.
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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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Generate a vector based on the input. Uses a Lucidworks AI embedding model to encode the input to a vector representation. Will be skipped if the input is blank or wildcard (* or *:*).
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.
accountName - stringrequired
Lucidworks AI account name. This entry should match the account name set in the LWAI Gateway.
modelType - stringrequired
Lucidworks AI model to use for encoding.
queryInput - stringrequired
The query itself is retrieved from here.
Default: <request.params.q>
outputContextVariable - stringrequired
The context variable into which the vector will be placed.
Default: vector
useCaseConfig - array[object]
Default: {"key":"dataType","value":"query"}
object attributes:{key
required : {
display name: Parameter Name
type: string
}value
: {
display name: Parameter Value
type: string
}}
modelConfig - array[object]
object attributes:{key
required : {
display name: Parameter Name
type: string
}value
: {
display name: Parameter Value
type: string
}}
failOnError - boolean
Flag to indicate if this stage should throw an exception if an error occurs while generating an encoding.
Default: false