refactor(langchain): use create_importer for HypotheticalDocumentEmbedder

libs/langchain/langchain/embeddings/__init__.py

@@ -74,32 +74,12 @@ if TYPE_CHECKING:
         XinferenceEmbeddings,
     )
 
+    from langchain.chains.hyde.base import HypotheticalDocumentEmbedder
+
 
 logger = logging.getLogger(__name__)
 
 
-# TODO: this is in here to maintain backwards compatibility
-class HypotheticalDocumentEmbedder:
-    def __init__(self, *args: Any, **kwargs: Any):
-        logger.warning(
-            "Using a deprecated class. Please use "
-            "`from langchain.chains import HypotheticalDocumentEmbedder` instead",
-        )
-        from langchain.chains.hyde.base import HypotheticalDocumentEmbedder as H
-
-        return H(*args, **kwargs)  # type: ignore[return-value] # noqa: PLE0101
-
-    @classmethod
-    def from_llm(cls, *args: Any, **kwargs: Any) -> Any:
-        logger.warning(
-            "Using a deprecated class. Please use "
-            "`from langchain.chains import HypotheticalDocumentEmbedder` instead",
-        )
-        from langchain.chains.hyde.base import HypotheticalDocumentEmbedder as H
-
-        return H.from_llm(*args, **kwargs)
-
-
 # Create a way to dynamically look up deprecated imports.
 # Used to consolidate logic for raising deprecation warnings and
 # handling optional imports.
@@ -130,6 +110,7 @@ DEPRECATED_LOOKUP = {
     "HuggingFaceHubEmbeddings": "langchain_community.embeddings",
     "HuggingFaceInferenceAPIEmbeddings": "langchain_community.embeddings",
     "HuggingFaceInstructEmbeddings": "langchain_community.embeddings",
+    "HypotheticalDocumentEmbedder": "langchain.chains.hyde.base",
     "InfinityEmbeddings": "langchain_community.embeddings",
     "JavelinAIGatewayEmbeddings": "langchain_community.embeddings",
     "JinaEmbeddings": "langchain_community.embeddings",
@@ -195,6 +176,7 @@ __all__ = [
     "HuggingFaceHubEmbeddings",
     "HuggingFaceInferenceAPIEmbeddings",
     "HuggingFaceInstructEmbeddings",
+    "HypotheticalDocumentEmbedder",
     "InfinityEmbeddings",
     "JavelinAIGatewayEmbeddings",
     "JinaEmbeddings",

libs/langchain/tests/unit_tests/embeddings/test_imports.py

@@ -11,6 +11,7 @@ EXPECTED_ALL = [
     "FastEmbedEmbeddings",
     "HuggingFaceEmbeddings",
     "HuggingFaceInferenceAPIEmbeddings",
+    "HypotheticalDocumentEmbedder",
     "InfinityEmbeddings",
     "GradientEmbeddings",
     "JinaEmbeddings",

libs/langchain/tests/unit_tests/test_imports.py

@@ -96,7 +96,7 @@ def test_no_more_changes_to_proxy_community() -> None:
         # most cases.
         hash_ += len(str(sorted(deprecated_lookup.items())))
 
-    evil_magic_number = 38620
+    evil_magic_number = 38684
 
     assert hash_ == evil_magic_number, (
         "If you're triggering this test, you're likely adding a new import "