databricks.getAiSearchIndex

func LookupAiSearchIndex(ctx *Context, args *LookupAiSearchIndexArgs, opts ...InvokeOption) (*LookupAiSearchIndexResult, error)
func LookupAiSearchIndexOutput(ctx *Context, args *LookupAiSearchIndexOutputArgs, opts ...InvokeOption) LookupAiSearchIndexResultOutput

> Note: This function is named LookupAiSearchIndex in the Go SDK.

Name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

ProviderConfig GetAiSearchIndexProviderConfig

Configure the provider for management through account provider.

Name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

ProviderConfig GetAiSearchIndexProviderConfig

Configure the provider for management through account provider.

name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

provider_config object

Configure the provider for management through account provider.

name String

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

providerConfig GetAiSearchIndexProviderConfig

Configure the provider for management through account provider.

name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

providerConfig GetAiSearchIndexProviderConfig

Configure the provider for management through account provider.

name str

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

provider_config GetAiSearchIndexProviderConfig

Configure the provider for management through account provider.

name String

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

providerConfig Property Map

Configure the provider for management through account provider.

Creator string

(string) - Creator of the index

DeltaSyncIndexSpec GetAiSearchIndexDeltaSyncIndexSpec

(DeltaSyncIndexSpec) - Specification for a Delta Sync index. Set when indexType is DELTA_SYNC

DirectAccessIndexSpec GetAiSearchIndexDirectAccessIndexSpec

(DirectAccessIndexSpec) - Specification for a Direct Access index. Set when indexType is DIRECT_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

Id string

The provider-assigned unique ID for this managed resource.

IndexSubtype string

(string) - The subtype of the index. Set on create and immutable thereafter. Possible values are: FULL_TEXT, HYBRID, VECTOR

IndexType 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

PrimaryKey string

(string) - Primary key of the index. Set on create and immutable thereafter

Status GetAiSearchIndexStatus

(IndexStatus) - Current status of the index

ProviderConfig GetAiSearchIndexProviderConfig

Creator string

(string) - Creator of the index

DeltaSyncIndexSpec GetAiSearchIndexDeltaSyncIndexSpec

(DeltaSyncIndexSpec) - Specification for a Delta Sync index. Set when indexType is DELTA_SYNC

DirectAccessIndexSpec GetAiSearchIndexDirectAccessIndexSpec

(DirectAccessIndexSpec) - Specification for a Direct Access index. Set when indexType is DIRECT_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

Id string

The provider-assigned unique ID for this managed resource.

IndexSubtype string

(string) - The subtype of the index. Set on create and immutable thereafter. Possible values are: FULL_TEXT, HYBRID, VECTOR

IndexType 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

PrimaryKey string

(string) - Primary key of the index. Set on create and immutable thereafter

Status GetAiSearchIndexStatus

(IndexStatus) - Current status of the index

ProviderConfig GetAiSearchIndexProviderConfig

creator string

(string) - Creator of the index

delta_sync_index_spec object

(DeltaSyncIndexSpec) - Specification for a Delta Sync index. Set when indexType is DELTA_SYNC

direct_access_index_spec object

(DirectAccessIndexSpec) - Specification for a Direct Access index. Set when indexType is DIRECT_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

id string

The provider-assigned unique ID for this managed resource.

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

creator String

(string) - Creator of the index

deltaSyncIndexSpec GetAiSearchIndexDeltaSyncIndexSpec

(DeltaSyncIndexSpec) - Specification for a Delta Sync index. Set when indexType is DELTA_SYNC

directAccessIndexSpec GetAiSearchIndexDirectAccessIndexSpec

(DirectAccessIndexSpec) - Specification for a Direct Access index. Set when indexType is DIRECT_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

id String

The provider-assigned unique ID for this managed resource.

indexSubtype String

(string) - The subtype of the index. Set on create and immutable thereafter. Possible values are: FULL_TEXT, HYBRID, VECTOR

indexType 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

primaryKey String

(string) - Primary key of the index. Set on create and immutable thereafter

status GetAiSearchIndexStatus

(IndexStatus) - Current status of the index

providerConfig GetAiSearchIndexProviderConfig

creator string

(string) - Creator of the index

deltaSyncIndexSpec GetAiSearchIndexDeltaSyncIndexSpec

(DeltaSyncIndexSpec) - Specification for a Delta Sync index. Set when indexType is DELTA_SYNC

directAccessIndexSpec GetAiSearchIndexDirectAccessIndexSpec

(DirectAccessIndexSpec) - Specification for a Direct Access index. Set when indexType is DIRECT_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

id string

The provider-assigned unique ID for this managed resource.

indexSubtype string

(string) - The subtype of the index. Set on create and immutable thereafter. Possible values are: FULL_TEXT, HYBRID, VECTOR

indexType 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

primaryKey string

(string) - Primary key of the index. Set on create and immutable thereafter

status GetAiSearchIndexStatus

(IndexStatus) - Current status of the index

providerConfig GetAiSearchIndexProviderConfig

creator str

(string) - Creator of the index

delta_sync_index_spec GetAiSearchIndexDeltaSyncIndexSpec

(DeltaSyncIndexSpec) - Specification for a Delta Sync index. Set when indexType is DELTA_SYNC

direct_access_index_spec GetAiSearchIndexDirectAccessIndexSpec

(DirectAccessIndexSpec) - Specification for a Direct Access index. Set when indexType is DIRECT_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

id str

The provider-assigned unique ID for this managed resource.

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 GetAiSearchIndexStatus

(IndexStatus) - Current status of the index

provider_config GetAiSearchIndexProviderConfig

creator String

(string) - Creator of the index

deltaSyncIndexSpec Property Map

(DeltaSyncIndexSpec) - Specification for a Delta Sync index. Set when indexType is DELTA_SYNC

directAccessIndexSpec Property Map

(DirectAccessIndexSpec) - Specification for a Direct Access index. Set when indexType is DIRECT_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

id String

The provider-assigned unique ID for this managed resource.

indexSubtype String

(string) - The subtype of the index. Set on create and immutable thereafter. Possible values are: FULL_TEXT, HYBRID, VECTOR

indexType 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

primaryKey String

(string) - Primary key of the index. Set on create and immutable thereafter

status Property Map

(IndexStatus) - Current status of the index

providerConfig Property Map

PipelineId string

(string) - The ID of the pipeline that is used to sync the index

PipelineType 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 explicit stage — a REQUIRED field staged below its service would be dropped from combined specs while remaining in required, tripping the OpenAPI required-vs-properties consistency check. The field inherits the service's launch stage. Possible values are: CONTINUOUS, TRIGGERED

ColumnsToSyncs List<string>

(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

EmbeddingSourceColumns List<GetAiSearchIndexDeltaSyncIndexSpecEmbeddingSourceColumn>

(list of EmbeddingSourceColumn) - The columns that contain the embedding source

EmbeddingVectorColumns List<GetAiSearchIndexDeltaSyncIndexSpecEmbeddingVectorColumn>

(list of EmbeddingVectorColumn) - The columns that contain the embedding vectors

EmbeddingWritebackTable string

(string) - [Optional] Name of the Delta table to sync the index contents and computed embeddings to

SourceTable string

(string) - The full name of the source Delta table

PipelineId string

(string) - The ID of the pipeline that is used to sync the index

PipelineType 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 explicit stage — a REQUIRED field staged below its service would be dropped from combined specs while remaining in required, tripping the OpenAPI required-vs-properties consistency check. The field inherits the service's launch stage. Possible values are: CONTINUOUS, TRIGGERED

ColumnsToSyncs []string

(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

EmbeddingSourceColumns []GetAiSearchIndexDeltaSyncIndexSpecEmbeddingSourceColumn

(list of EmbeddingSourceColumn) - The columns that contain the embedding source

EmbeddingVectorColumns []GetAiSearchIndexDeltaSyncIndexSpecEmbeddingVectorColumn

(list of EmbeddingVectorColumn) - The columns that contain the embedding vectors

EmbeddingWritebackTable string

(string) - [Optional] Name of the Delta table to sync the index contents and computed embeddings to

SourceTable 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 explicit stage — a REQUIRED field staged below its service would be dropped from combined specs while remaining in required, tripping the OpenAPI required-vs-properties consistency check. The field inherits the service's launch stage. Possible values are: CONTINUOUS, TRIGGERED

columns_to_syncs list(string)

(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_columns list(object)

(list of EmbeddingSourceColumn) - The columns that contain the embedding source

embedding_vector_columns list(object)

(list of EmbeddingVectorColumn) - The columns that contain the embedding vectors

embedding_writeback_table string

(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

pipelineId String

(string) - The ID of the pipeline that is used to sync the index

pipelineType 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 explicit stage — a REQUIRED field staged below its service would be dropped from combined specs while remaining in required, tripping the OpenAPI required-vs-properties consistency check. The field inherits the service's launch stage. Possible values are: CONTINUOUS, TRIGGERED

columnsToSyncs List<String>

(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

embeddingSourceColumns List<GetAiSearchIndexDeltaSyncIndexSpecEmbeddingSourceColumn>

(list of EmbeddingSourceColumn) - The columns that contain the embedding source

embeddingVectorColumns List<GetAiSearchIndexDeltaSyncIndexSpecEmbeddingVectorColumn>

(list of EmbeddingVectorColumn) - The columns that contain the embedding vectors

embeddingWritebackTable String

(string) - [Optional] Name of the Delta table to sync the index contents and computed embeddings to

sourceTable String

(string) - The full name of the source Delta table

pipelineId string

(string) - The ID of the pipeline that is used to sync the index

pipelineType 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 explicit stage — a REQUIRED field staged below its service would be dropped from combined specs while remaining in required, tripping the OpenAPI required-vs-properties consistency check. The field inherits the service's launch stage. Possible values are: CONTINUOUS, TRIGGERED

columnsToSyncs string[]

(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

embeddingSourceColumns GetAiSearchIndexDeltaSyncIndexSpecEmbeddingSourceColumn[]

(list of EmbeddingSourceColumn) - The columns that contain the embedding source

embeddingVectorColumns GetAiSearchIndexDeltaSyncIndexSpecEmbeddingVectorColumn[]

(list of EmbeddingVectorColumn) - The columns that contain the embedding vectors

embeddingWritebackTable string

(string) - [Optional] Name of the Delta table to sync the index contents and computed embeddings to

sourceTable 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 explicit stage — a REQUIRED field staged below its service would be dropped from combined specs while remaining in required, tripping the OpenAPI required-vs-properties consistency check. The field inherits the service's launch stage. Possible values are: CONTINUOUS, TRIGGERED

columns_to_syncs Sequence[str]

(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_columns Sequence[GetAiSearchIndexDeltaSyncIndexSpecEmbeddingSourceColumn]

(list of EmbeddingSourceColumn) - The columns that contain the embedding source

embedding_vector_columns Sequence[GetAiSearchIndexDeltaSyncIndexSpecEmbeddingVectorColumn]

(list of EmbeddingVectorColumn) - The columns that contain the embedding vectors

embedding_writeback_table str

(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

pipelineId String

(string) - The ID of the pipeline that is used to sync the index

pipelineType 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 explicit stage — a REQUIRED field staged below its service would be dropped from combined specs while remaining in required, tripping the OpenAPI required-vs-properties consistency check. The field inherits the service's launch stage. Possible values are: CONTINUOUS, TRIGGERED

columnsToSyncs List<String>

(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

embeddingSourceColumns List<Property Map>

(list of EmbeddingSourceColumn) - The columns that contain the embedding source

embeddingVectorColumns List<Property Map>

(list of EmbeddingVectorColumn) - The columns that contain the embedding vectors

embeddingWritebackTable String

(string) - [Optional] Name of the Delta table to sync the index contents and computed embeddings to

sourceTable String

(string) - The full name of the source Delta table

EmbeddingModelEndpoint string

(string) - Name of the embedding model endpoint, used by default for both ingestion and querying

ModelEndpointNameForQuery string

(string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)

Name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

EmbeddingModelEndpoint string

(string) - Name of the embedding model endpoint, used by default for both ingestion and querying

ModelEndpointNameForQuery string

(string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)

Name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embedding_model_endpoint string

(string) - Name of the embedding model endpoint, used by default for both ingestion and querying

model_endpoint_name_for_query string

(string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)

name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embeddingModelEndpoint String

(string) - Name of the embedding model endpoint, used by default for both ingestion and querying

modelEndpointNameForQuery String

(string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)

name String

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embeddingModelEndpoint string

(string) - Name of the embedding model endpoint, used by default for both ingestion and querying

modelEndpointNameForQuery string

(string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)

name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embedding_model_endpoint str

(string) - Name of the embedding model endpoint, used by default for both ingestion and querying

model_endpoint_name_for_query str

(string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)

name str

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embeddingModelEndpoint String

(string) - Name of the embedding model endpoint, used by default for both ingestion and querying

modelEndpointNameForQuery String

(string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)

name String

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

EmbeddingDimension int

(integer) - Dimension of the embedding vector

Name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

EmbeddingDimension int

(integer) - Dimension of the embedding vector

Name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embedding_dimension number

(integer) - Dimension of the embedding vector

name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embeddingDimension Integer

(integer) - Dimension of the embedding vector

name String

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embeddingDimension number

(integer) - Dimension of the embedding vector

name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embedding_dimension int

(integer) - Dimension of the embedding vector

name str

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embeddingDimension Number

(integer) - Dimension of the embedding vector

name String

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

EmbeddingSourceColumns List<GetAiSearchIndexDirectAccessIndexSpecEmbeddingSourceColumn>

(list of EmbeddingSourceColumn) - The columns that contain the embedding source

EmbeddingVectorColumns List<GetAiSearchIndexDirectAccessIndexSpecEmbeddingVectorColumn>

(list of EmbeddingVectorColumn) - The columns that contain the embedding vectors

SchemaJson 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>

EmbeddingSourceColumns []GetAiSearchIndexDirectAccessIndexSpecEmbeddingSourceColumn

(list of EmbeddingSourceColumn) - The columns that contain the embedding source

EmbeddingVectorColumns []GetAiSearchIndexDirectAccessIndexSpecEmbeddingVectorColumn

(list of EmbeddingVectorColumn) - The columns that contain the embedding vectors

SchemaJson 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_columns list(object)

(list of EmbeddingSourceColumn) - The columns that contain the embedding source

embedding_vector_columns list(object)

(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>

embeddingSourceColumns List<GetAiSearchIndexDirectAccessIndexSpecEmbeddingSourceColumn>

(list of EmbeddingSourceColumn) - The columns that contain the embedding source

embeddingVectorColumns List<GetAiSearchIndexDirectAccessIndexSpecEmbeddingVectorColumn>

(list of EmbeddingVectorColumn) - The columns that contain the embedding vectors

schemaJson 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>

embeddingSourceColumns GetAiSearchIndexDirectAccessIndexSpecEmbeddingSourceColumn[]

(list of EmbeddingSourceColumn) - The columns that contain the embedding source

embeddingVectorColumns GetAiSearchIndexDirectAccessIndexSpecEmbeddingVectorColumn[]

(list of EmbeddingVectorColumn) - The columns that contain the embedding vectors

schemaJson 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_columns Sequence[GetAiSearchIndexDirectAccessIndexSpecEmbeddingSourceColumn]

(list of EmbeddingSourceColumn) - The columns that contain the embedding source

embedding_vector_columns Sequence[GetAiSearchIndexDirectAccessIndexSpecEmbeddingVectorColumn]

(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>

embeddingSourceColumns List<Property Map>

(list of EmbeddingSourceColumn) - The columns that contain the embedding source

embeddingVectorColumns List<Property Map>

(list of EmbeddingVectorColumn) - The columns that contain the embedding vectors

schemaJson 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>

EmbeddingModelEndpoint string

(string) - Name of the embedding model endpoint, used by default for both ingestion and querying

ModelEndpointNameForQuery string

(string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)

Name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

EmbeddingModelEndpoint string

(string) - Name of the embedding model endpoint, used by default for both ingestion and querying

ModelEndpointNameForQuery string

(string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)

Name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embedding_model_endpoint string

(string) - Name of the embedding model endpoint, used by default for both ingestion and querying

model_endpoint_name_for_query string

(string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)

name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embeddingModelEndpoint String

(string) - Name of the embedding model endpoint, used by default for both ingestion and querying

modelEndpointNameForQuery String

(string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)

name String

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embeddingModelEndpoint string

(string) - Name of the embedding model endpoint, used by default for both ingestion and querying

modelEndpointNameForQuery string

(string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)

name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embedding_model_endpoint str

(string) - Name of the embedding model endpoint, used by default for both ingestion and querying

model_endpoint_name_for_query str

(string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)

name str

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embeddingModelEndpoint String

(string) - Name of the embedding model endpoint, used by default for both ingestion and querying

modelEndpointNameForQuery String

(string) - Name of the embedding model endpoint which, if specified, is used for querying (not ingestion)

name String

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

EmbeddingDimension int

(integer) - Dimension of the embedding vector

Name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

EmbeddingDimension int

(integer) - Dimension of the embedding vector

Name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embedding_dimension number

(integer) - Dimension of the embedding vector

name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embeddingDimension Integer

(integer) - Dimension of the embedding vector

name String

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embeddingDimension number

(integer) - Dimension of the embedding vector

name string

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embedding_dimension int

(integer) - Dimension of the embedding vector

name str

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

embeddingDimension Number

(integer) - Dimension of the embedding vector

name String

Name of the AI Search index. Server-assigned full resource path (workspaces/{workspace}/endpoints/{endpoint}/indexes/{index}) on output, where {index} is the index's Unity Catalog table name. On create, the user-supplied UC table name is conveyed via CreateIndexRequest.index_id; the server composes the full name and returns it on the response

WorkspaceId string

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

WorkspaceId 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.

workspaceId String

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

workspaceId 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.

workspaceId String

Workspace ID which the resource belongs to. This workspace must be part of the account which the provider is configured with.

IndexUrl string

(string) - Index API URL used to perform operations on the index

IndexedRowCount int

(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

IndexUrl string

(string) - Index API URL used to perform operations on the index

IndexedRowCount int

(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_count number

(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

indexUrl String

(string) - Index API URL used to perform operations on the index

indexedRowCount Integer

(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

indexUrl string

(string) - Index API URL used to perform operations on the index

indexedRowCount number

(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_count int

(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

indexUrl String

(string) - Index API URL used to perform operations on the index

indexedRowCount Number

(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