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community[patch]: use semantic_configurations in AzureSearch (#19347)

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- **Description:** Currently the semantic_configurations are not used
when creating an AzureSearch instance, instead creating a new one with
default values. This PR changes the behavior to use the passed
semantic_configurations if it is present, and the existing default
configuration if not.

---------

Co-authored-by: Adam Law <adamlaw@microsoft.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
This commit is contained in:
Adam Law 2024-03-26 13:57:39 -07:00 committed by GitHub
parent a7274f006e
commit aeb7b6b11d
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GPG Key ID: B5690EEEBB952194
1 changed files with 18 additions and 4 deletions
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22
libs/community/langchain_community/vectorstores/azuresearch.py
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@ -69,7 +69,9 @@ def _get_search_client(
semantic_configuration_name: Optional[str] = None,
fields: Optional[List[SearchField]] = None,
vector_search: Optional[VectorSearch] = None,
semantic_configurations: Optional[SemanticConfiguration] = None,
semantic_configurations: Optional[
Union[SemanticConfiguration, List[SemanticConfiguration]]
] = None,
scoring_profiles: Optional[List[ScoringProfile]] = None,
default_scoring_profile: Optional[str] = None,
default_fields: Optional[List[SearchField]] = None,
@ -175,8 +177,15 @@ def _get_search_client(
)
# Create the semantic settings with the configuration
semantic_search = None
if semantic_configurations is None and semantic_configuration_name is not None:
if semantic_configurations:
if not isinstance(semantic_configurations, list):
semantic_configurations = [semantic_configurations]
semantic_search = SemanticSearch(
configurations=semantic_configurations,
default_configuration_name=semantic_configuration_name,
)
elif semantic_configuration_name:
# use default semantic configuration
semantic_configuration = SemanticConfiguration(
name=semantic_configuration_name,
prioritized_fields=SemanticPrioritizedFields(
@ -184,6 +193,9 @@ def _get_search_client(
),
)
semantic_search = SemanticSearch(configurations=[semantic_configuration])
else:
# don't use semantic search
semantic_search = None
# Create the search index with the semantic settings and vector search
index = SearchIndex(
@ -218,7 +230,9 @@ class AzureSearch(VectorStore):
semantic_configuration_name: Optional[str] = None,
fields: Optional[List[SearchField]] = None,
vector_search: Optional[VectorSearch] = None,
semantic_configurations: Optional[SemanticConfiguration] = None,
semantic_configurations: Optional[
Union[SemanticConfiguration, List[SemanticConfiguration]]
] = None,
scoring_profiles: Optional[List[ScoringProfile]] = None,
default_scoring_profile: Optional[str] = None,
cors_options: Optional[CorsOptions] = None,