| Interface | Description |
|---|---|
| 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.
|
| Enum | Description |
|---|---|
| DeleteDataStatus | |
| EndpointStatusState |
Current state of the endpoint
|
| EndpointType |
Type of endpoint.
|
| IndexSubtype |
The subtype of the AI Search index, determining the indexing and retrieval strategy. - `VECTOR`:
Not supported.
|
| 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.
|
| ScalingChangeState | |
| UpsertDataStatus | |
| 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.
|
| VectorSearchEndpointPermissionLevel |
Permission level
|
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