Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::FeatureView::VertexRagSource (v0.61.0)

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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::FeatureView::VertexRagSource.

A Vertex Rag source for features that need to be synced to Online Store.

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#rag_corpus_id

def rag_corpus_id() -> ::Integer

Returns

• (::Integer) — Optional. The RAG corpus id corresponding to this FeatureView.

#rag_corpus_id=

def rag_corpus_id=(value) -> ::Integer

Parameter

• value (::Integer) — Optional. The RAG corpus id corresponding to this FeatureView.

Returns

• (::Integer) — Optional. The RAG corpus id corresponding to this FeatureView.

#uri

def uri() -> ::String

Returns

• (::String) —

  Required. The BigQuery view/table URI that will be materialized on each manual sync trigger. The table/view is expected to have the following columns and types at least:

  • corpus_id (STRING, NULLABLE/REQUIRED)
  • file_id (STRING, NULLABLE/REQUIRED)
  • chunk_id (STRING, NULLABLE/REQUIRED)
  • chunk_data_type (STRING, NULLABLE/REQUIRED)
  • chunk_data (STRING, NULLABLE/REQUIRED)
  • embeddings (FLOAT, REPEATED)
  • file_original_uri (STRING, NULLABLE/REQUIRED)

#uri=

def uri=(value) -> ::String

Parameter

• value (::String) —

  Required. The BigQuery view/table URI that will be materialized on each manual sync trigger. The table/view is expected to have the following columns and types at least:

  • corpus_id (STRING, NULLABLE/REQUIRED)
  • file_id (STRING, NULLABLE/REQUIRED)
  • chunk_id (STRING, NULLABLE/REQUIRED)
  • chunk_data_type (STRING, NULLABLE/REQUIRED)
  • chunk_data (STRING, NULLABLE/REQUIRED)
  • embeddings (FLOAT, REPEATED)
  • file_original_uri (STRING, NULLABLE/REQUIRED)

Returns

• (::String) —

  Required. The BigQuery view/table URI that will be materialized on each manual sync trigger. The table/view is expected to have the following columns and types at least:

  • corpus_id (STRING, NULLABLE/REQUIRED)
  • file_id (STRING, NULLABLE/REQUIRED)
  • chunk_id (STRING, NULLABLE/REQUIRED)
  • chunk_data_type (STRING, NULLABLE/REQUIRED)
  • chunk_data (STRING, NULLABLE/REQUIRED)
  • embeddings (FLOAT, REPEATED)
  • file_original_uri (STRING, NULLABLE/REQUIRED)