Class VertexRagStore (1.122.0)

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VertexRagStore(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Retrieve from Vertex RAG Store for grounding.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Attributes
Name	Description
rag_corpora	MutableSequence[str] Optional. Deprecated. Please use rag_resources instead.
rag_resources	MutableSequence[google.cloud.aiplatform_v1beta1.types.VertexRagStore.RagResource] Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support.
similarity_top_k	int Optional. Number of top k results to return from the selected corpora. This field is a member of oneof_ _similarity_top_k.
vector_distance_threshold	float Optional. Only return results with vector distance smaller than the threshold. This field is a member of oneof_ _vector_distance_threshold.
rag_retrieval_config	google.cloud.aiplatform_v1beta1.types.RagRetrievalConfig Optional. The retrieval config for the Rag query.
store_context	bool Optional. Currently only supported for Gemini Multimodal Live API. In Gemini Multimodal Live API, if store_context bool is true, Gemini will leverage it to automatically memorize the interactions between the client and Gemini, and retrieve context when needed to augment the response generation for users' ongoing and future interactions.

Classes

RagResource

RagResource(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The definition of the Rag resource.

Methods

VertexRagStore

VertexRagStore(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Retrieve from Vertex RAG Store for grounding.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields