| ColumnInfo |
| CreateEndpoint |
| CreateVectorIndexRequest |
| CustomTag |
| DeleteDataResult |
| DeleteDataStatus |
| DeleteDataVectorIndexRequest
Delete data from index
|
| DeleteDataVectorIndexResponse |
| DeleteEndpointRequest
Delete an endpoint
|
| DeleteIndexRequest
Delete an index
|
| DeltaSyncVectorIndexSpecRequest |
| DeltaSyncVectorIndexSpecResponse |
| DirectAccessVectorIndexSpec |
| EmbeddingSourceColumn |
| EmbeddingVectorColumn |
| EndpointInfo |
| EndpointStatus
Status information of an endpoint
|
| EndpointStatusState
Current state of the endpoint
|
| EndpointType
Type of endpoint.
|
| GetEndpointRequest
Get an endpoint
|
| GetIndexRequest
Get an index
|
| ListEndpointResponse |
| ListEndpointsRequest
List all endpoints
|
| ListIndexesRequest
List indexes
|
| ListValue |
| ListVectorIndexesResponse |
| MapStringValueEntry
Key-value pair.
|
| MiniVectorIndex |
| PatchEndpointBudgetPolicyRequest |
| PatchEndpointBudgetPolicyResponse |
| PipelineType
Pipeline execution mode.
|
| QueryVectorIndexNextPageRequest
Request payload for getting next page of results.
|
| QueryVectorIndexRequest |
| QueryVectorIndexResponse |
| ResultData
Data returned in the query result.
|
| ResultManifest
Metadata about the result set.
|
| ScanVectorIndexRequest |
| ScanVectorIndexResponse
Response to a scan vector index request.
|
| Struct |
| SyncIndexRequest
Synchronize an index
|
| UpdateEndpointCustomTagsRequest |
| UpdateEndpointCustomTagsResponse |
| UpsertDataResult |
| UpsertDataStatus |
| UpsertDataVectorIndexRequest |
| UpsertDataVectorIndexResponse |
| Value |
| VectorIndex |
| VectorIndexStatus |
| VectorIndexType
There are 2 types of Vector 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.
|
| VectorSearchEndpointsService
**Endpoint**: Represents the compute resources to host vector search indexes.
|
| VectorSearchIndexesService
**Index**: An efficient representation of your embedding vectors that supports real-time and
efficient approximate nearest neighbor (ANN) search queries.
|