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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class RagVectorDbConfig.
Config for the Vector DB to use for RAG.
Generated from protobuf message google.cloud.aiplatform.v1.RagVectorDbConfig
Namespace
Google \ Cloud \ AIPlatform \ V1Methods
__construct
Constructor.
Parameters
Name
Description
data
array
Optional. Data for populating the Message object.
↳ rag_managed_db
↳ pinecone
↳ vertex_vector_search
↳ api_auth
↳ rag_embedding_model_config
getRagManagedDb
The config for the RAG-managed Vector DB.
hasRagManagedDb
setRagManagedDb
The config for the RAG-managed Vector DB.
Returns
Type
Description
$this
getPinecone
The config for the Pinecone.
hasPinecone
setPinecone
The config for the Pinecone.
Returns
Type
Description
$this
getVertexVectorSearch
The config for the Vertex Vector Search.
hasVertexVectorSearch
setVertexVectorSearch
The config for the Vertex Vector Search.
Returns
Type
Description
$this
getApiAuth
Authentication config for the chosen Vector DB.
hasApiAuth
clearApiAuth
setApiAuth
Authentication config for the chosen Vector DB.
Returns
Type
Description
$this
getRagEmbeddingModelConfig
Optional. Immutable. The embedding model config of the Vector DB.
hasRagEmbeddingModelConfig
clearRagEmbeddingModelConfig
setRagEmbeddingModelConfig
Optional. Immutable. The embedding model config of the Vector DB.
Returns
Type
Description
$this
getVectorDb
Returns
Type
Description
string
