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fix: Add _serving_config
property to GoogleVertexAISearchRetriever
(#12084)
- Fixes error: ``` ValueError: "GoogleVertexAISearchRetriever" object has no field "_serving_config" ``` Introduced in #11736 @baskaryan, @eyurtsev, @hwchase17 if you could review and merge quickly, that would be appreciated :)
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@ -38,9 +38,6 @@ class _BaseGoogleVertexAISearchRetriever(BaseModel):
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2 - Website data (with Advanced Website Indexing)
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2 - Website data (with Advanced Website Indexing)
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"""
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"""
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_serving_config: str
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"""Full path of serving config."""
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@root_validator(pre=True)
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@root_validator(pre=True)
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def validate_environment(cls, values: Dict) -> Dict:
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validates the environment."""
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"""Validates the environment."""
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@ -239,6 +236,7 @@ class GoogleVertexAISearchRetriever(BaseRetriever, _BaseGoogleVertexAISearchRetr
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"""
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"""
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_client: SearchServiceClient
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_client: SearchServiceClient
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_serving_config: str
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class Config:
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class Config:
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"""Configuration for this pydantic object."""
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"""Configuration for this pydantic object."""
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@ -373,6 +371,7 @@ class GoogleVertexAIMultiTurnSearchRetriever(
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"""Vertex AI Search Conversation ID."""
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"""Vertex AI Search Conversation ID."""
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_client: ConversationalSearchServiceClient
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_client: ConversationalSearchServiceClient
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_serving_config: str
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class Config:
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class Config:
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"""Configuration for this pydantic object."""
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"""Configuration for this pydantic object."""
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