| Interface | Description |
|---|---|
| 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.
|
| Enum | Description |
|---|---|
| DeleteDataStatus | |
| EndpointStatusState |
Current state of the endpoint
|
| EndpointType |
Type of endpoint.
|
| IndexSubtype |
The subtype of the vector 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 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. - `DIRECT_ACCESS`: An index that supports direct read and write
of vectors and metadata through our REST and SDK APIs.
|
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