| ColumnInfo |
| CreateEndpoint |
| CreateVectorIndexRequest |
| CustomTag |
| DeleteDataResult |
| DeleteDataStatus |
| DeleteDataVectorIndexRequest |
| DeleteDataVectorIndexResponse |
| DeleteEndpointRequest |
| DeleteIndexRequest |
| DeltaSyncVectorIndexSpecRequest |
| DeltaSyncVectorIndexSpecResponse |
| DirectAccessVectorIndexSpec |
| EmbeddingSourceColumn |
| EmbeddingVectorColumn |
| EndpointInfo |
| EndpointScalingInfo |
| EndpointStatus
Status information of an endpoint
|
| EndpointStatusState
Current state of the endpoint
|
| EndpointType
Type of endpoint.
|
| GetEndpointRequest |
| GetIndexRequest |
| GetVectorSearchEndpointPermissionLevelsRequest |
| GetVectorSearchEndpointPermissionLevelsResponse |
| GetVectorSearchEndpointPermissionsRequest |
| IndexSubtype
The subtype of the AI Search index, determining the indexing and retrieval strategy. - `VECTOR`:
Not supported.
|
| ListEndpointResponse |
| ListEndpointsRequest |
| ListIndexesRequest |
| ListValue |
| ListVectorIndexesResponse |
| MapStringValueEntry
Key-value pair.
|
| Metric
Metric specification
|
| MetricLabel
Label for a metric
|
| MetricValue
Single metric value at a specific timestamp
|
| MetricValues
Collection of metric values for a specific metric
|
| MiniVectorIndex |
| PatchEndpointBudgetPolicyRequest |
| PatchEndpointBudgetPolicyResponse |
| PatchEndpointRequest |
| PipelineType
Pipeline execution mode. - `TRIGGERED`: If the pipeline uses the triggered execution mode, the
system stops processing after successfully refreshing the source table in the pipeline once,
ensuring the table is updated based on the data available when the update started. -
`CONTINUOUS`: If the pipeline uses continuous execution, the pipeline processes new data as it
arrives in the source table to keep vector index fresh.
|
| QueryVectorIndexNextPageRequest
Request payload for getting next page of results.
|
| QueryVectorIndexRequest |
| QueryVectorIndexResponse |
| RerankerConfig |
| RerankerConfigRerankerParameters |
| ResultData
Data returned in the query result.
|
| ResultManifest
Metadata about the result set.
|
| RetrieveUserVisibleMetricsRequest
Request to retrieve user-visible metrics
|
| RetrieveUserVisibleMetricsResponse
Response containing user-visible metrics
|
| ScalingChangeState |
| ScanVectorIndexRequest |
| ScanVectorIndexResponse
Response to a scan vector index request.
|
| Struct |
| SyncIndexRequest |
| UpdateEndpointCustomTagsRequest |
| UpdateEndpointCustomTagsResponse |
| UpsertDataResult |
| UpsertDataStatus |
| UpsertDataVectorIndexRequest |
| UpsertDataVectorIndexResponse |
| Value |
| VectorIndex |
| VectorIndexStatus |
| VectorIndexType
There are 2 types of AI Search indexes: - `DELTA_SYNC`: An index that automatically syncs with a
source Delta Table, automatically and incrementally updating the index as the underlying data in
the Delta Table changes. - `DIRECT_ACCESS`: An index that supports direct read and write of
vectors and metadata through our REST and SDK APIs.
|
| VectorSearchEndpointAccessControlRequest |
| VectorSearchEndpointAccessControlResponse |
| VectorSearchEndpointPermission |
| VectorSearchEndpointPermissionLevel
Permission level
|
| VectorSearchEndpointPermissions |
| VectorSearchEndpointPermissionsDescription |
| VectorSearchEndpointPermissionsRequest |
| VectorSearchEndpointsService
**Endpoint**: Represents the compute resources to host AI Search indexes.
|
| VectorSearchIndexesService
**Index**: An efficient representation of your embedding vectors that supports real-time and
efficient approximate nearest neighbor (ANN) search queries.
|