Viewing docs for Databricks v1.97.0
published on Thursday, Jun 25, 2026 by Pulumi
published on Thursday, Jun 25, 2026 by Pulumi
Viewing docs for Databricks v1.97.0
published on Thursday, Jun 25, 2026 by Pulumi
published on Thursday, Jun 25, 2026 by Pulumi
Using getAiSearchIndexes
Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.
function getAiSearchIndexes(args: GetAiSearchIndexesArgs, opts?: InvokeOptions): Promise<GetAiSearchIndexesResult>
function getAiSearchIndexesOutput(args: GetAiSearchIndexesOutputArgs, opts?: InvokeOptions): Output<GetAiSearchIndexesResult>def get_ai_search_indexes(page_size: Optional[int] = None,
parent: Optional[str] = None,
provider_config: Optional[GetAiSearchIndexesProviderConfig] = None,
opts: Optional[InvokeOptions] = None) -> GetAiSearchIndexesResult
def get_ai_search_indexes_output(page_size: pulumi.Input[Optional[int]] = None,
parent: pulumi.Input[Optional[str]] = None,
provider_config: pulumi.Input[Optional[GetAiSearchIndexesProviderConfigArgs]] = None,
opts: Optional[InvokeOptions] = None) -> Output[GetAiSearchIndexesResult]func GetAiSearchIndexes(ctx *Context, args *GetAiSearchIndexesArgs, opts ...InvokeOption) (*GetAiSearchIndexesResult, error)
func GetAiSearchIndexesOutput(ctx *Context, args *GetAiSearchIndexesOutputArgs, opts ...InvokeOption) GetAiSearchIndexesResultOutput> Note: This function is named GetAiSearchIndexes in the Go SDK.
public static class GetAiSearchIndexes
{
public static Task<GetAiSearchIndexesResult> InvokeAsync(GetAiSearchIndexesArgs args, InvokeOptions? opts = null)
public static Output<GetAiSearchIndexesResult> Invoke(GetAiSearchIndexesInvokeArgs args, InvokeOptions? opts = null)
}public static CompletableFuture<GetAiSearchIndexesResult> getAiSearchIndexes(GetAiSearchIndexesArgs args, InvokeOptions options)
public static Output<GetAiSearchIndexesResult> getAiSearchIndexes(GetAiSearchIndexesArgs args, InvokeOptions options)
fn::invoke:
function: databricks:index/getAiSearchIndexes:getAiSearchIndexes
arguments:
# arguments dictionarydata "databricks_getaisearchindexes" "name" {
# arguments
}The following arguments are supported:
- Parent string
- The Endpoint that owns this collection of indexes.
Format:
workspaces/{workspace_id}/endpoints/{endpoint_id} - Page
Size int - Best-effort upper bound on the number of results to return. Honored as an upper
bound by the shim:
pageSizeonly narrows the legacy backend's response, never widens it, so the practical cap ismin(page_size, legacy_fixed_page_size) - Provider
Config GetAi Search Indexes Provider Config - Configure the provider for management through account provider.
- Parent string
- The Endpoint that owns this collection of indexes.
Format:
workspaces/{workspace_id}/endpoints/{endpoint_id} - Page
Size int - Best-effort upper bound on the number of results to return. Honored as an upper
bound by the shim:
pageSizeonly narrows the legacy backend's response, never widens it, so the practical cap ismin(page_size, legacy_fixed_page_size) - Provider
Config GetAi Search Indexes Provider Config - Configure the provider for management through account provider.
- parent string
- The Endpoint that owns this collection of indexes.
Format:
workspaces/{workspace_id}/endpoints/{endpoint_id} - page_
size number - Best-effort upper bound on the number of results to return. Honored as an upper
bound by the shim:
pageSizeonly narrows the legacy backend's response, never widens it, so the practical cap ismin(page_size, legacy_fixed_page_size) - provider_
config object - Configure the provider for management through account provider.
- parent String
- The Endpoint that owns this collection of indexes.
Format:
workspaces/{workspace_id}/endpoints/{endpoint_id} - page
Size Integer - Best-effort upper bound on the number of results to return. Honored as an upper
bound by the shim:
pageSizeonly narrows the legacy backend's response, never widens it, so the practical cap ismin(page_size, legacy_fixed_page_size) - provider
Config GetAi Search Indexes Provider Config - Configure the provider for management through account provider.
- parent string
- The Endpoint that owns this collection of indexes.
Format:
workspaces/{workspace_id}/endpoints/{endpoint_id} - page
Size number - Best-effort upper bound on the number of results to return. Honored as an upper
bound by the shim:
pageSizeonly narrows the legacy backend's response, never widens it, so the practical cap ismin(page_size, legacy_fixed_page_size) - provider
Config GetAi Search Indexes Provider Config - Configure the provider for management through account provider.
- parent str
- The Endpoint that owns this collection of indexes.
Format:
workspaces/{workspace_id}/endpoints/{endpoint_id} - page_
size int - Best-effort upper bound on the number of results to return. Honored as an upper
bound by the shim:
pageSizeonly narrows the legacy backend's response, never widens it, so the practical cap ismin(page_size, legacy_fixed_page_size) - provider_
config GetAi Search Indexes Provider Config - Configure the provider for management through account provider.
- parent String
- The Endpoint that owns this collection of indexes.
Format:
workspaces/{workspace_id}/endpoints/{endpoint_id} - page
Size Number - Best-effort upper bound on the number of results to return. Honored as an upper
bound by the shim:
pageSizeonly narrows the legacy backend's response, never widens it, so the practical cap ismin(page_size, legacy_fixed_page_size) - provider
Config Property Map - Configure the provider for management through account provider.
getAiSearchIndexes Result
The following output properties are available:
- Id string
- The provider-assigned unique ID for this managed resource.
- Indexes
List<Get
Ai Search Indexes Index> - Parent string
- Page
Size int - Provider
Config GetAi Search Indexes Provider Config
- Id string
- The provider-assigned unique ID for this managed resource.
- Indexes
[]Get
Ai Search Indexes Index - Parent string
- Page
Size int - Provider
Config GetAi Search Indexes Provider Config
- id string
- The provider-assigned unique ID for this managed resource.
- indexes list(object)
- parent string
- page_
size number - provider_
config object
- id String
- The provider-assigned unique ID for this managed resource.
- indexes
List<Get
Ai Search Indexes Index> - parent String
- page
Size Integer - provider
Config GetAi Search Indexes Provider Config
- id string
- The provider-assigned unique ID for this managed resource.
- indexes
Get
Ai Search Indexes Index[] - parent string
- page
Size number - provider
Config GetAi Search Indexes Provider Config
- id str
- The provider-assigned unique ID for this managed resource.
- indexes
Sequence[Get
Ai Search Indexes Index] - parent str
- page_
size int - provider_
config GetAi Search Indexes Provider Config
- id String
- The provider-assigned unique ID for this managed resource.
- indexes List<Property Map>
- parent String
- page
Size Number - provider
Config Property Map
Supporting Types
GetAiSearchIndexesIndex
- Creator string
- (string) - Creator of the index
- Delta
Sync GetIndex Spec Ai Search Indexes Index Delta Sync Index Spec - (DeltaSyncIndexSpec) - Specification for a Delta Sync index. Set when
indexTypeisDELTA_SYNC - Direct
Access GetIndex Spec Ai Search Indexes Index Direct Access Index Spec - (DirectAccessIndexSpec) - Specification for a Direct Access index. Set when
indexTypeisDIRECT_ACCESS - Endpoint string
- (string) - Name of the endpoint associated with the index. Ignored on create — the endpoint is
taken from
CreateIndexRequest.parent; populated only on output - Index
Subtype string - (string) - The subtype of the index. Set on create and immutable thereafter. Possible values are:
FULL_TEXT,HYBRID,VECTOR - Index
Type string - (string) - Type of index. Required on create and immutable thereafter. Possible values are:
DELTA_SYNC,DIRECT_ACCESS - Name string
- (string) - Name of the column
- Primary
Key string - (string) - Primary key of the index. Set on create and immutable thereafter
- Status
Get
Ai Search Indexes Index Status - (IndexStatus) - Current status of the index
- Provider
Config GetAi Search Indexes Index Provider Config - Configure the provider for management through account provider.
- Creator string
- (string) - Creator of the index
- Delta
Sync GetIndex Spec Ai Search Indexes Index Delta Sync Index Spec - (DeltaSyncIndexSpec) - Specification for a Delta Sync index. Set when
indexTypeisDELTA_SYNC - Direct
Access GetIndex Spec Ai Search Indexes Index Direct Access Index Spec - (DirectAccessIndexSpec) - Specification for a Direct Access index. Set when
indexTypeisDIRECT_ACCESS - Endpoint string
- (string) - Name of the endpoint associated with the index. Ignored on create — the endpoint is
taken from
CreateIndexRequest.parent; populated only on output - Index
Subtype string - (string) - The subtype of the index. Set on create and immutable thereafter. Possible values are:
FULL_TEXT,HYBRID,VECTOR - Index
Type string - (string) - Type of index. Required on create and immutable thereafter. Possible values are:
DELTA_SYNC,DIRECT_ACCESS - Name string
- (string) - Name of the column
- Primary
Key string - (string) - Primary key of the index. Set on create and immutable thereafter
- Status
Get
Ai Search Indexes Index Status - (IndexStatus) - Current status of the index
- Provider
Config GetAi Search Indexes Index Provider Config - Configure the provider for management through account provider.
- creator string
- (string) - Creator of the index
- delta_
sync_ objectindex_ spec - (DeltaSyncIndexSpec) - Specification for a Delta Sync index. Set when
indexTypeisDELTA_SYNC - direct_
access_ objectindex_ spec - (DirectAccessIndexSpec) - Specification for a Direct Access index. Set when
indexTypeisDIRECT_ACCESS - endpoint string
- (string) - Name of the endpoint associated with the index. Ignored on create — the endpoint is
taken from
CreateIndexRequest.parent; populated only on output - index_
subtype string - (string) - The subtype of the index. Set on create and immutable thereafter. Possible values are:
FULL_TEXT,HYBRID,VECTOR - index_
type string - (string) - Type of index. Required on create and immutable thereafter. Possible values are:
DELTA_SYNC,DIRECT_ACCESS - name string
- (string) - Name of the column
- primary_
key string - (string) - Primary key of the index. Set on create and immutable thereafter
- status object
- (IndexStatus) - Current status of the index
- provider_
config object - Configure the provider for management through account provider.
- creator String
- (string) - Creator of the index
- delta
Sync GetIndex Spec Ai Search Indexes Index Delta Sync Index Spec - (DeltaSyncIndexSpec) - Specification for a Delta Sync index. Set when
indexTypeisDELTA_SYNC - direct
Access GetIndex Spec Ai Search Indexes Index Direct Access Index Spec - (DirectAccessIndexSpec) - Specification for a Direct Access index. Set when
indexTypeisDIRECT_ACCESS - endpoint String
- (string) - Name of the endpoint associated with the index. Ignored on create — the endpoint is
taken from
CreateIndexRequest.parent; populated only on output - index
Subtype String - (string) - The subtype of the index. Set on create and immutable thereafter. Possible values are:
FULL_TEXT,HYBRID,VECTOR - index
Type String - (string) - Type of index. Required on create and immutable thereafter. Possible values are:
DELTA_SYNC,DIRECT_ACCESS - name String
- (string) - Name of the column
- primary
Key String - (string) - Primary key of the index. Set on create and immutable thereafter
- status
Get
Ai Search Indexes Index Status - (IndexStatus) - Current status of the index
- provider
Config GetAi Search Indexes Index Provider Config - Configure the provider for management through account provider.
- creator string
- (string) - Creator of the index
- delta
Sync GetIndex Spec Ai Search Indexes Index Delta Sync Index Spec - (DeltaSyncIndexSpec) - Specification for a Delta Sync index. Set when
indexTypeisDELTA_SYNC - direct
Access GetIndex Spec Ai Search Indexes Index Direct Access Index Spec - (DirectAccessIndexSpec) - Specification for a Direct Access index. Set when
indexTypeisDIRECT_ACCESS - endpoint string
- (string) - Name of the endpoint associated with the index. Ignored on create — the endpoint is
taken from
CreateIndexRequest.parent; populated only on output - index
Subtype string - (string) - The subtype of the index. Set on create and immutable thereafter. Possible values are:
FULL_TEXT,HYBRID,VECTOR - index
Type string - (string) - Type of index. Required on create and immutable thereafter. Possible values are:
DELTA_SYNC,DIRECT_ACCESS - name string
- (string) - Name of the column
- primary
Key string - (string) - Primary key of the index. Set on create and immutable thereafter
- status
Get
Ai Search Indexes Index Status - (IndexStatus) - Current status of the index
- provider
Config GetAi Search Indexes Index Provider Config - Configure the provider for management through account provider.
- creator str
- (string) - Creator of the index
- delta_
sync_ Getindex_ spec Ai Search Indexes Index Delta Sync Index Spec - (DeltaSyncIndexSpec) - Specification for a Delta Sync index. Set when
indexTypeisDELTA_SYNC - direct_
access_ Getindex_ spec Ai Search Indexes Index Direct Access Index Spec - (DirectAccessIndexSpec) - Specification for a Direct Access index. Set when
indexTypeisDIRECT_ACCESS - endpoint str
- (string) - Name of the endpoint associated with the index. Ignored on create — the endpoint is
taken from
CreateIndexRequest.parent; populated only on output - index_
subtype str - (string) - The subtype of the index. Set on create and immutable thereafter. Possible values are:
FULL_TEXT,HYBRID,VECTOR - index_
type str - (string) - Type of index. Required on create and immutable thereafter. Possible values are:
DELTA_SYNC,DIRECT_ACCESS - name str
- (string) - Name of the column
- primary_
key str - (string) - Primary key of the index. Set on create and immutable thereafter
- status
Get
Ai Search Indexes Index Status - (IndexStatus) - Current status of the index
- provider_
config GetAi Search Indexes Index Provider Config - Configure the provider for management through account provider.
- creator String
- (string) - Creator of the index
- delta
Sync Property MapIndex Spec - (DeltaSyncIndexSpec) - Specification for a Delta Sync index. Set when
indexTypeisDELTA_SYNC - direct
Access Property MapIndex Spec - (DirectAccessIndexSpec) - Specification for a Direct Access index. Set when
indexTypeisDIRECT_ACCESS - endpoint String
- (string) - Name of the endpoint associated with the index. Ignored on create — the endpoint is
taken from
CreateIndexRequest.parent; populated only on output - index
Subtype String - (string) - The subtype of the index. Set on create and immutable thereafter. Possible values are:
FULL_TEXT,HYBRID,VECTOR - index
Type String - (string) - Type of index. Required on create and immutable thereafter. Possible values are:
DELTA_SYNC,DIRECT_ACCESS - name String
- (string) - Name of the column
- primary
Key String - (string) - Primary key of the index. Set on create and immutable thereafter
- status Property Map
- (IndexStatus) - Current status of the index
- provider
Config Property Map - Configure the provider for management through account provider.
GetAiSearchIndexesIndexDeltaSyncIndexSpec
- Pipeline
Id string - (string) - The ID of the pipeline that is used to sync the index
- Pipeline
Type string - (string) - Pipeline execution mode. Required on create — the backend rejects an unset value.
Storage Optimized endpoints accept only
TRIGGERED; Standard endpoints accept both. No explicitstage— a REQUIRED field staged below its service would be dropped from combined specs while remaining inrequired, tripping the OpenAPI required-vs-properties consistency check. The field inherits the service's launch stage. Possible values are:CONTINUOUS,TRIGGERED - Columns
To List<string>Syncs - (list of string) - [Optional] Select the columns to sync with the index. If left blank, all columns from the source table are synced. The primary key column and embedding source or vector column are always synced
- Embedding
Source List<GetColumns Ai Search Indexes Index Delta Sync Index Spec Embedding Source Column> - (list of EmbeddingSourceColumn) - The columns that contain the embedding source
- Embedding
Vector List<GetColumns Ai Search Indexes Index Delta Sync Index Spec Embedding Vector Column> - (list of EmbeddingVectorColumn) - The columns that contain the embedding vectors
- Embedding
Writeback stringTable - (string) - [Optional] Name of the Delta table to sync the index contents and computed embeddings to
- Source
Table string - (string) - The full name of the source Delta table
- Pipeline
Id string - (string) - The ID of the pipeline that is used to sync the index
- Pipeline
Type string - (string) - Pipeline execution mode. Required on create — the backend rejects an unset value.
Storage Optimized endpoints accept only
TRIGGERED; Standard endpoints accept both. No explicitstage— a REQUIRED field staged below its service would be dropped from combined specs while remaining inrequired, tripping the OpenAPI required-vs-properties consistency check. The field inherits the service's launch stage. Possible values are:CONTINUOUS,TRIGGERED - Columns
To []stringSyncs - (list of string) - [Optional] Select the columns to sync with the index. If left blank, all columns from the source table are synced. The primary key column and embedding source or vector column are always synced
- Embedding
Source []GetColumns Ai Search Indexes Index Delta Sync Index Spec Embedding Source Column - (list of EmbeddingSourceColumn) - The columns that contain the embedding source
- Embedding
Vector []GetColumns Ai Search Indexes Index Delta Sync Index Spec Embedding Vector Column - (list of EmbeddingVectorColumn) - The columns that contain the embedding vectors
- Embedding
Writeback stringTable - (string) - [Optional] Name of the Delta table to sync the index contents and computed embeddings to
- Source
Table string - (string) - The full name of the source Delta table
- pipeline_
id string - (string) - The ID of the pipeline that is used to sync the index
- pipeline_
type string - (string) - Pipeline execution mode. Required on create — the backend rejects an unset value.
Storage Optimized endpoints accept only
TRIGGERED; Standard endpoints accept both. No explicitstage— a REQUIRED field staged below its service would be dropped from combined specs while remaining inrequired, tripping the OpenAPI required-vs-properties consistency check. The field inherits the service's launch stage. Possible values are:CONTINUOUS,TRIGGERED - columns_
to_ list(string)syncs - (list of string) - [Optional] Select the columns to sync with the index. If left blank, all columns from the source table are synced. The primary key column and embedding source or vector column are always synced
- embedding_
source_ list(object)columns - (list of EmbeddingSourceColumn) - The columns that contain the embedding source
- embedding_
vector_ list(object)columns - (list of EmbeddingVectorColumn) - The columns that contain the embedding vectors
- embedding_
writeback_ stringtable - (string) - [Optional] Name of the Delta table to sync the index contents and computed embeddings to
- source_
table string - (string) - The full name of the source Delta table
- pipeline
Id String - (string) - The ID of the pipeline that is used to sync the index
- pipeline
Type String - (string) - Pipeline execution mode. Required on create — the backend rejects an unset value.
Storage Optimized endpoints accept only
TRIGGERED; Standard endpoints accept both. No explicitstage— a REQUIRED field staged below its service would be dropped from combined specs while remaining inrequired, tripping the OpenAPI required-vs-properties consistency check. The field inherits the service's launch stage. Possible values are:CONTINUOUS,TRIGGERED - columns
To List<String>Syncs - (list of string) - [Optional] Select the columns to sync with the index. If left blank, all columns from the source table are synced. The primary key column and embedding source or vector column are always synced
- embedding
Source List<GetColumns Ai Search Indexes Index Delta Sync Index Spec Embedding Source Column> - (list of EmbeddingSourceColumn) - The columns that contain the embedding source
- embedding
Vector List<GetColumns Ai Search Indexes Index Delta Sync Index Spec Embedding Vector Column> - (list of EmbeddingVectorColumn) - The columns that contain the embedding vectors
- embedding
Writeback StringTable - (string) - [Optional] Name of the Delta table to sync the index contents and computed embeddings to
- source
Table String - (string) - The full name of the source Delta table
- pipeline
Id string - (string) - The ID of the pipeline that is used to sync the index
- pipeline
Type string - (string) - Pipeline execution mode. Required on create — the backend rejects an unset value.
Storage Optimized endpoints accept only
TRIGGERED; Standard endpoints accept both. No explicitstage— a REQUIRED field staged below its service would be dropped from combined specs while remaining inrequired, tripping the OpenAPI required-vs-properties consistency check. The field inherits the service's launch stage. Possible values are:CONTINUOUS,TRIGGERED - columns
To string[]Syncs - (list of string) - [Optional] Select the columns to sync with the index. If left blank, all columns from the source table are synced. The primary key column and embedding source or vector column are always synced
- embedding
Source GetColumns Ai Search Indexes Index Delta Sync Index Spec Embedding Source Column[] - (list of EmbeddingSourceColumn) - The columns that contain the embedding source
- embedding
Vector GetColumns Ai Search Indexes Index Delta Sync Index Spec Embedding Vector Column[] - (list of EmbeddingVectorColumn) - The columns that contain the embedding vectors
- embedding
Writeback stringTable - (string) - [Optional] Name of the Delta table to sync the index contents and computed embeddings to
- source
Table string - (string) - The full name of the source Delta table
- pipeline_
id str - (string) - The ID of the pipeline that is used to sync the index
- pipeline_
type str - (string) - Pipeline execution mode. Required on create — the backend rejects an unset value.
Storage Optimized endpoints accept only
TRIGGERED; Standard endpoints accept both. No explicitstage— a REQUIRED field staged below its service would be dropped from combined specs while remaining inrequired, tripping the OpenAPI required-vs-properties consistency check. The field inherits the service's launch stage. Possible values are:CONTINUOUS,TRIGGERED - columns_
to_ Sequence[str]syncs - (list of string) - [Optional] Select the columns to sync with the index. If left blank, all columns from the source table are synced. The primary key column and embedding source or vector column are always synced
- embedding_
source_ Sequence[Getcolumns Ai Search Indexes Index Delta Sync Index Spec Embedding Source Column] - (list of EmbeddingSourceColumn) - The columns that contain the embedding source
- embedding_
vector_ Sequence[Getcolumns Ai Search Indexes Index Delta Sync Index Spec Embedding Vector Column] - (list of EmbeddingVectorColumn) - The columns that contain the embedding vectors
- embedding_
writeback_ strtable - (string) - [Optional] Name of the Delta table to sync the index contents and computed embeddings to
- source_
table str - (string) - The full name of the source Delta table
- pipeline
Id String - (string) - The ID of the pipeline that is used to sync the index
- pipeline
Type String - (string) - Pipeline execution mode. Required on create — the backend rejects an unset value.
Storage Optimized endpoints accept only
TRIGGERED; Standard endpoints accept both. No explicitstage— a REQUIRED field staged below its service would be dropped from combined specs while remaining inrequired, tripping the OpenAPI required-vs-properties consistency check. The field inherits the service's launch stage. Possible values are:CONTINUOUS,TRIGGERED - columns
To List<String>Syncs - (list of string) - [Optional] Select the columns to sync with the index. If left blank, all columns from the source table are synced. The primary key column and embedding source or vector column are always synced
- embedding
Source List<Property Map>Columns - (list of EmbeddingSourceColumn) - The columns that contain the embedding source
- embedding
Vector List<Property Map>Columns - (list of EmbeddingVectorColumn) - The columns that contain the embedding vectors
- embedding
Writeback StringTable - (string) - [Optional] Name of the Delta table to sync the index contents and computed embeddings to
- source
Table String - (string) - The full name of the source Delta table
GetAiSearchIndexesIndexDeltaSyncIndexSpecEmbeddingSourceColumn
- Embedding
Model stringEndpoint - (string) - Name of the embedding model endpoint, used by default for both ingestion and querying
- Model
Endpoint stringName For Query - (string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)
- Name string
- (string) - Name of the column
- Embedding
Model stringEndpoint - (string) - Name of the embedding model endpoint, used by default for both ingestion and querying
- Model
Endpoint stringName For Query - (string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)
- Name string
- (string) - Name of the column
- embedding_
model_ stringendpoint - (string) - Name of the embedding model endpoint, used by default for both ingestion and querying
- model_
endpoint_ stringname_ for_ query - (string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)
- name string
- (string) - Name of the column
- embedding
Model StringEndpoint - (string) - Name of the embedding model endpoint, used by default for both ingestion and querying
- model
Endpoint StringName For Query - (string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)
- name String
- (string) - Name of the column
- embedding
Model stringEndpoint - (string) - Name of the embedding model endpoint, used by default for both ingestion and querying
- model
Endpoint stringName For Query - (string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)
- name string
- (string) - Name of the column
- embedding_
model_ strendpoint - (string) - Name of the embedding model endpoint, used by default for both ingestion and querying
- model_
endpoint_ strname_ for_ query - (string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)
- name str
- (string) - Name of the column
- embedding
Model StringEndpoint - (string) - Name of the embedding model endpoint, used by default for both ingestion and querying
- model
Endpoint StringName For Query - (string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)
- name String
- (string) - Name of the column
GetAiSearchIndexesIndexDeltaSyncIndexSpecEmbeddingVectorColumn
- Embedding
Dimension int - (integer) - Dimension of the embedding vector
- Name string
- (string) - Name of the column
- Embedding
Dimension int - (integer) - Dimension of the embedding vector
- Name string
- (string) - Name of the column
- embedding_
dimension number - (integer) - Dimension of the embedding vector
- name string
- (string) - Name of the column
- embedding
Dimension Integer - (integer) - Dimension of the embedding vector
- name String
- (string) - Name of the column
- embedding
Dimension number - (integer) - Dimension of the embedding vector
- name string
- (string) - Name of the column
- embedding_
dimension int - (integer) - Dimension of the embedding vector
- name str
- (string) - Name of the column
- embedding
Dimension Number - (integer) - Dimension of the embedding vector
- name String
- (string) - Name of the column
GetAiSearchIndexesIndexDirectAccessIndexSpec
- Embedding
Source List<GetColumns Ai Search Indexes Index Direct Access Index Spec Embedding Source Column> - (list of EmbeddingSourceColumn) - The columns that contain the embedding source
- Embedding
Vector List<GetColumns Ai Search Indexes Index Direct Access Index Spec Embedding Vector Column> - (list of EmbeddingVectorColumn) - The columns that contain the embedding vectors
- Schema
Json string - (string) - The schema of the index in JSON format. Supported types are
integer,long,float,double,boolean,string,date,timestamp. Supported types for vector columns:array<float>,array<double>
- Embedding
Source []GetColumns Ai Search Indexes Index Direct Access Index Spec Embedding Source Column - (list of EmbeddingSourceColumn) - The columns that contain the embedding source
- Embedding
Vector []GetColumns Ai Search Indexes Index Direct Access Index Spec Embedding Vector Column - (list of EmbeddingVectorColumn) - The columns that contain the embedding vectors
- Schema
Json string - (string) - The schema of the index in JSON format. Supported types are
integer,long,float,double,boolean,string,date,timestamp. Supported types for vector columns:array<float>,array<double>
- embedding_
source_ list(object)columns - (list of EmbeddingSourceColumn) - The columns that contain the embedding source
- embedding_
vector_ list(object)columns - (list of EmbeddingVectorColumn) - The columns that contain the embedding vectors
- schema_
json string - (string) - The schema of the index in JSON format. Supported types are
integer,long,float,double,boolean,string,date,timestamp. Supported types for vector columns:array<float>,array<double>
- embedding
Source List<GetColumns Ai Search Indexes Index Direct Access Index Spec Embedding Source Column> - (list of EmbeddingSourceColumn) - The columns that contain the embedding source
- embedding
Vector List<GetColumns Ai Search Indexes Index Direct Access Index Spec Embedding Vector Column> - (list of EmbeddingVectorColumn) - The columns that contain the embedding vectors
- schema
Json String - (string) - The schema of the index in JSON format. Supported types are
integer,long,float,double,boolean,string,date,timestamp. Supported types for vector columns:array<float>,array<double>
- embedding
Source GetColumns Ai Search Indexes Index Direct Access Index Spec Embedding Source Column[] - (list of EmbeddingSourceColumn) - The columns that contain the embedding source
- embedding
Vector GetColumns Ai Search Indexes Index Direct Access Index Spec Embedding Vector Column[] - (list of EmbeddingVectorColumn) - The columns that contain the embedding vectors
- schema
Json string - (string) - The schema of the index in JSON format. Supported types are
integer,long,float,double,boolean,string,date,timestamp. Supported types for vector columns:array<float>,array<double>
- embedding_
source_ Sequence[Getcolumns Ai Search Indexes Index Direct Access Index Spec Embedding Source Column] - (list of EmbeddingSourceColumn) - The columns that contain the embedding source
- embedding_
vector_ Sequence[Getcolumns Ai Search Indexes Index Direct Access Index Spec Embedding Vector Column] - (list of EmbeddingVectorColumn) - The columns that contain the embedding vectors
- schema_
json str - (string) - The schema of the index in JSON format. Supported types are
integer,long,float,double,boolean,string,date,timestamp. Supported types for vector columns:array<float>,array<double>
- embedding
Source List<Property Map>Columns - (list of EmbeddingSourceColumn) - The columns that contain the embedding source
- embedding
Vector List<Property Map>Columns - (list of EmbeddingVectorColumn) - The columns that contain the embedding vectors
- schema
Json String - (string) - The schema of the index in JSON format. Supported types are
integer,long,float,double,boolean,string,date,timestamp. Supported types for vector columns:array<float>,array<double>
GetAiSearchIndexesIndexDirectAccessIndexSpecEmbeddingSourceColumn
- Embedding
Model stringEndpoint - (string) - Name of the embedding model endpoint, used by default for both ingestion and querying
- Model
Endpoint stringName For Query - (string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)
- Name string
- (string) - Name of the column
- Embedding
Model stringEndpoint - (string) - Name of the embedding model endpoint, used by default for both ingestion and querying
- Model
Endpoint stringName For Query - (string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)
- Name string
- (string) - Name of the column
- embedding_
model_ stringendpoint - (string) - Name of the embedding model endpoint, used by default for both ingestion and querying
- model_
endpoint_ stringname_ for_ query - (string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)
- name string
- (string) - Name of the column
- embedding
Model StringEndpoint - (string) - Name of the embedding model endpoint, used by default for both ingestion and querying
- model
Endpoint StringName For Query - (string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)
- name String
- (string) - Name of the column
- embedding
Model stringEndpoint - (string) - Name of the embedding model endpoint, used by default for both ingestion and querying
- model
Endpoint stringName For Query - (string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)
- name string
- (string) - Name of the column
- embedding_
model_ strendpoint - (string) - Name of the embedding model endpoint, used by default for both ingestion and querying
- model_
endpoint_ strname_ for_ query - (string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)
- name str
- (string) - Name of the column
- embedding
Model StringEndpoint - (string) - Name of the embedding model endpoint, used by default for both ingestion and querying
- model
Endpoint StringName For Query - (string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)
- name String
- (string) - Name of the column
GetAiSearchIndexesIndexDirectAccessIndexSpecEmbeddingVectorColumn
- Embedding
Dimension int - (integer) - Dimension of the embedding vector
- Name string
- (string) - Name of the column
- Embedding
Dimension int - (integer) - Dimension of the embedding vector
- Name string
- (string) - Name of the column
- embedding_
dimension number - (integer) - Dimension of the embedding vector
- name string
- (string) - Name of the column
- embedding
Dimension Integer - (integer) - Dimension of the embedding vector
- name String
- (string) - Name of the column
- embedding
Dimension number - (integer) - Dimension of the embedding vector
- name string
- (string) - Name of the column
- embedding_
dimension int - (integer) - Dimension of the embedding vector
- name str
- (string) - Name of the column
- embedding
Dimension Number - (integer) - Dimension of the embedding vector
- name String
- (string) - Name of the column
GetAiSearchIndexesIndexProviderConfig
- Workspace
Id string - Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
- Workspace
Id string - Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
- workspace_
id string - Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
- workspace
Id String - Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
- workspace
Id string - Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
- workspace_
id str - Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
- workspace
Id String - Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
GetAiSearchIndexesIndexStatus
- Index
Url string - (string) - Index API URL used to perform operations on the index
- Indexed
Row intCount - (integer) - Number of rows indexed
- Message string
- (string) - Human-readable detail about the index's current state
- Ready bool
- (boolean) - Whether the index is ready for search
- Index
Url string - (string) - Index API URL used to perform operations on the index
- Indexed
Row intCount - (integer) - Number of rows indexed
- Message string
- (string) - Human-readable detail about the index's current state
- Ready bool
- (boolean) - Whether the index is ready for search
- index_
url string - (string) - Index API URL used to perform operations on the index
- indexed_
row_ numbercount - (integer) - Number of rows indexed
- message string
- (string) - Human-readable detail about the index's current state
- ready bool
- (boolean) - Whether the index is ready for search
- index
Url String - (string) - Index API URL used to perform operations on the index
- indexed
Row IntegerCount - (integer) - Number of rows indexed
- message String
- (string) - Human-readable detail about the index's current state
- ready Boolean
- (boolean) - Whether the index is ready for search
- index
Url string - (string) - Index API URL used to perform operations on the index
- indexed
Row numberCount - (integer) - Number of rows indexed
- message string
- (string) - Human-readable detail about the index's current state
- ready boolean
- (boolean) - Whether the index is ready for search
- index_
url str - (string) - Index API URL used to perform operations on the index
- indexed_
row_ intcount - (integer) - Number of rows indexed
- message str
- (string) - Human-readable detail about the index's current state
- ready bool
- (boolean) - Whether the index is ready for search
- index
Url String - (string) - Index API URL used to perform operations on the index
- indexed
Row NumberCount - (integer) - Number of rows indexed
- message String
- (string) - Human-readable detail about the index's current state
- ready Boolean
- (boolean) - Whether the index is ready for search
GetAiSearchIndexesProviderConfig
- Workspace
Id string - Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
- Workspace
Id string - Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
- workspace_
id string - Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
- workspace
Id String - Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
- workspace
Id string - Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
- workspace_
id str - Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
- workspace
Id String - Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.
Package Details
- Repository
- databricks pulumi/pulumi-databricks
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
databricksTerraform Provider.
Viewing docs for Databricks v1.97.0
published on Thursday, Jun 25, 2026 by Pulumi
published on Thursday, Jun 25, 2026 by Pulumi