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multiple: pydantic 2 compatibility, v0.3 (#26443)
Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com> Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com> Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: ccurme <chester.curme@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com> Co-authored-by: ZhangShenao <15201440436@163.com> Co-authored-by: Friso H. Kingma <fhkingma@gmail.com> Co-authored-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Nuno Campos <nuno@langchain.dev> Co-authored-by: Morgante Pell <morgantep@google.com>
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@@ -32,10 +32,10 @@ from langchain_core.callbacks import (
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from langchain_core.documents import Document
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from langchain_core.embeddings import Embeddings
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from langchain_core.exceptions import LangChainException
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from langchain_core.pydantic_v1 import root_validator
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from langchain_core.retrievers import BaseRetriever
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from langchain_core.utils import get_from_env
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from langchain_core.vectorstores import VectorStore
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from pydantic import ConfigDict, model_validator
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from langchain_community.vectorstores.utils import maximal_marginal_relevance
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@@ -1580,11 +1580,13 @@ class AzureSearchVectorStoreRetriever(BaseRetriever):
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"semantic_hybrid_score_threshold",
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)
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class Config:
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arbitrary_types_allowed = True
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model_config = ConfigDict(
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arbitrary_types_allowed=True,
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)
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@root_validator(pre=True)
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def validate_search_type(cls, values: Dict) -> Dict:
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@model_validator(mode="before")
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@classmethod
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def validate_search_type(cls, values: Dict) -> Any:
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"""Validate search type."""
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if "search_type" in values:
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search_type = values["search_type"]
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