Optional. Specs defining
DataStores to filter on in
a search call and configurations for those data stores. This is only
considered for Engines with
multiple data stores.
Optional. Specs defining
DataStores to filter on in
a search call and configurations for those data stores. This is only
considered for Engines with
multiple data stores.
Optional. Specs defining
DataStores to filter on in
a search call and configurations for those data stores. This is only
considered for Engines with
multiple data stores.
Optional. Specs defining
DataStores to filter on in
a search call and configurations for those data stores. This is only
considered for Engines with
multiple data stores.
Optional. Specs defining
DataStores to filter on in
a search call and configurations for those data stores. This is only
considered for Engines with
multiple data stores.
Optional. The filter syntax consists of an expression language for
constructing a predicate from one or more fields of the documents being
filtered. Filter expression is case-sensitive.
If this field is unrecognizable, an INVALID_ARGUMENT is returned.
Filtering in Vertex AI Search is done by mapping the LHS filter key to
a key property defined in the Vertex AI Search backend -- this mapping
is defined by the customer in their schema. For example a media
customer might have a field 'name' in their schema. In this case the
filter would look like this: filter --> name:'ANY("king kong")'
For more information about filtering including syntax and filter
operators, see
Filter
Optional. The filter syntax consists of an expression language for
constructing a predicate from one or more fields of the documents being
filtered. Filter expression is case-sensitive.
If this field is unrecognizable, an INVALID_ARGUMENT is returned.
Filtering in Vertex AI Search is done by mapping the LHS filter key to
a key property defined in the Vertex AI Search backend -- this mapping
is defined by the customer in their schema. For example a media
customer might have a field 'name' in their schema. In this case the
filter would look like this: filter --> name:'ANY("king kong")'
For more information about filtering including syntax and filter
operators, see
Filter
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-03 UTC."],[],[]]