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"""**Embedding models** are wrappers around embedding models
from different APIs and services.
**Embedding models** can be LLMs or not.
**Class hierarchy:**
.. code-block::
Embeddings --> <name>Embeddings # Examples: OpenAIEmbeddings, HuggingFaceEmbeddings
"""
import logging
from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
from langchain.embeddings.cache import CacheBackedEmbeddings
if TYPE_CHECKING:
from langchain_community.embeddings import (
AlephAlphaAsymmetricSemanticEmbedding,
AlephAlphaSymmetricSemanticEmbedding,
AwaEmbeddings,
AzureOpenAIEmbeddings,
BedrockEmbeddings,
BookendEmbeddings,
ClarifaiEmbeddings,
CohereEmbeddings,
DashScopeEmbeddings,
DatabricksEmbeddings,
DeepInfraEmbeddings,
DeterministicFakeEmbedding,
EdenAiEmbeddings,
ElasticsearchEmbeddings,
EmbaasEmbeddings,
ErnieEmbeddings,
FakeEmbeddings,
FastEmbedEmbeddings,
GooglePalmEmbeddings,
GPT4AllEmbeddings,
GradientEmbeddings,
HuggingFaceBgeEmbeddings,
HuggingFaceEmbeddings,
HuggingFaceHubEmbeddings,
HuggingFaceInferenceAPIEmbeddings,
HuggingFaceInstructEmbeddings,
InfinityEmbeddings,
JavelinAIGatewayEmbeddings,
JinaEmbeddings,
JohnSnowLabsEmbeddings,
LlamaCppEmbeddings,
LocalAIEmbeddings,
MiniMaxEmbeddings,
MlflowAIGatewayEmbeddings,
MlflowEmbeddings,
ModelScopeEmbeddings,
MosaicMLInstructorEmbeddings,
NLPCloudEmbeddings,
OctoAIEmbeddings,
OllamaEmbeddings,
OpenAIEmbeddings,
OpenVINOEmbeddings,
QianfanEmbeddingsEndpoint,
SagemakerEndpointEmbeddings,
SelfHostedEmbeddings,
SelfHostedHuggingFaceEmbeddings,
SelfHostedHuggingFaceInstructEmbeddings,
SentenceTransformerEmbeddings,
SpacyEmbeddings,
TensorflowHubEmbeddings,
VertexAIEmbeddings,
VoyageEmbeddings,
XinferenceEmbeddings,
)
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
@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.
DEPRECATED_LOOKUP = {
"AlephAlphaAsymmetricSemanticEmbedding": "langchain_community.embeddings",
"AlephAlphaSymmetricSemanticEmbedding": "langchain_community.embeddings",
"AwaEmbeddings": "langchain_community.embeddings",
"AzureOpenAIEmbeddings": "langchain_community.embeddings",
"BedrockEmbeddings": "langchain_community.embeddings",
"BookendEmbeddings": "langchain_community.embeddings",
"ClarifaiEmbeddings": "langchain_community.embeddings",
"CohereEmbeddings": "langchain_community.embeddings",
"DashScopeEmbeddings": "langchain_community.embeddings",
"DatabricksEmbeddings": "langchain_community.embeddings",
"DeepInfraEmbeddings": "langchain_community.embeddings",
"DeterministicFakeEmbedding": "langchain_community.embeddings",
"EdenAiEmbeddings": "langchain_community.embeddings",
"ElasticsearchEmbeddings": "langchain_community.embeddings",
"EmbaasEmbeddings": "langchain_community.embeddings",
"ErnieEmbeddings": "langchain_community.embeddings",
"FakeEmbeddings": "langchain_community.embeddings",
"FastEmbedEmbeddings": "langchain_community.embeddings",
"GooglePalmEmbeddings": "langchain_community.embeddings",
"GPT4AllEmbeddings": "langchain_community.embeddings",
"GradientEmbeddings": "langchain_community.embeddings",
"HuggingFaceBgeEmbeddings": "langchain_community.embeddings",
"HuggingFaceEmbeddings": "langchain_community.embeddings",
"HuggingFaceHubEmbeddings": "langchain_community.embeddings",
"HuggingFaceInferenceAPIEmbeddings": "langchain_community.embeddings",
"HuggingFaceInstructEmbeddings": "langchain_community.embeddings",
"InfinityEmbeddings": "langchain_community.embeddings",
"JavelinAIGatewayEmbeddings": "langchain_community.embeddings",
"JinaEmbeddings": "langchain_community.embeddings",
"JohnSnowLabsEmbeddings": "langchain_community.embeddings",
"LlamaCppEmbeddings": "langchain_community.embeddings",
"LocalAIEmbeddings": "langchain_community.embeddings",
"MiniMaxEmbeddings": "langchain_community.embeddings",
"MlflowAIGatewayEmbeddings": "langchain_community.embeddings",
"MlflowEmbeddings": "langchain_community.embeddings",
"ModelScopeEmbeddings": "langchain_community.embeddings",
"MosaicMLInstructorEmbeddings": "langchain_community.embeddings",
"NLPCloudEmbeddings": "langchain_community.embeddings",
"OctoAIEmbeddings": "langchain_community.embeddings",
"OllamaEmbeddings": "langchain_community.embeddings",
"OpenAIEmbeddings": "langchain_community.embeddings",
"OpenVINOEmbeddings": "langchain_community.embeddings",
"QianfanEmbeddingsEndpoint": "langchain_community.embeddings",
"SagemakerEndpointEmbeddings": "langchain_community.embeddings",
"SelfHostedEmbeddings": "langchain_community.embeddings",
"SelfHostedHuggingFaceEmbeddings": "langchain_community.embeddings",
"SelfHostedHuggingFaceInstructEmbeddings": "langchain_community.embeddings",
"SentenceTransformerEmbeddings": "langchain_community.embeddings",
"SpacyEmbeddings": "langchain_community.embeddings",
"TensorflowHubEmbeddings": "langchain_community.embeddings",
"VertexAIEmbeddings": "langchain_community.embeddings",
"VoyageEmbeddings": "langchain_community.embeddings",
"XinferenceEmbeddings": "langchain_community.embeddings",
}
_import_attribute = create_importer(__package__, deprecated_lookups=DEPRECATED_LOOKUP)
def __getattr__(name: str) -> Any:
"""Look up attributes dynamically."""
return _import_attribute(name)
__all__ = [
"AlephAlphaAsymmetricSemanticEmbedding",
"AlephAlphaSymmetricSemanticEmbedding",
"AwaEmbeddings",
"AzureOpenAIEmbeddings",
"BedrockEmbeddings",
"BookendEmbeddings",
"CacheBackedEmbeddings",
"ClarifaiEmbeddings",
"CohereEmbeddings",
"DashScopeEmbeddings",
"DatabricksEmbeddings",
"DeepInfraEmbeddings",
"DeterministicFakeEmbedding",
"EdenAiEmbeddings",
"ElasticsearchEmbeddings",
"EmbaasEmbeddings",
"ErnieEmbeddings",
"FakeEmbeddings",
"FastEmbedEmbeddings",
"GooglePalmEmbeddings",
"GPT4AllEmbeddings",
"GradientEmbeddings",
"HuggingFaceBgeEmbeddings",
"HuggingFaceEmbeddings",
"HuggingFaceHubEmbeddings",
"HuggingFaceInferenceAPIEmbeddings",
"HuggingFaceInstructEmbeddings",
"InfinityEmbeddings",
"JavelinAIGatewayEmbeddings",
"JinaEmbeddings",
"JohnSnowLabsEmbeddings",
"LlamaCppEmbeddings",
"LocalAIEmbeddings",
"MiniMaxEmbeddings",
"MlflowAIGatewayEmbeddings",
"MlflowEmbeddings",
"ModelScopeEmbeddings",
"MosaicMLInstructorEmbeddings",
"NLPCloudEmbeddings",
"OctoAIEmbeddings",
"OllamaEmbeddings",
"OpenAIEmbeddings",
"OpenVINOEmbeddings",
"QianfanEmbeddingsEndpoint",
"SagemakerEndpointEmbeddings",
"SelfHostedEmbeddings",
"SelfHostedHuggingFaceEmbeddings",
"SelfHostedHuggingFaceInstructEmbeddings",
"SentenceTransformerEmbeddings",
"SpacyEmbeddings",
"TensorflowHubEmbeddings",
"VertexAIEmbeddings",
"VoyageEmbeddings",
"XinferenceEmbeddings",
]
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