langchain/libs/community/langchain_community/embeddings/__init__.py
CLOVA Studio 개발 846a75284f
community: Add Naver chat model & embeddings (#25162)
Reopened as a personal repo outside the organization.

## Description
- Naver HyperCLOVA X community package 
  - Add chat model & embeddings
  - Add unit test & integration test
  - Add chat model & embeddings docs
- I changed partner
package(https://github.com/langchain-ai/langchain/pull/24252) to
community package on this PR
- Could this
embeddings(https://github.com/langchain-ai/langchain/pull/21890) be
deprecated? We are trying to replace it with embedding
model(**ClovaXEmbeddings**) in this PR.

Twitter handle: None. (if needed, contact with
joonha.jeon@navercorp.com)

---
you can check our previous discussion below:

> one question on namespaces - would it make sense to have these in
.clova namespaces instead of .naver?

I would like to keep it as is, unless it is essential to unify the
package name.
(ClovaX is a branding for the model, and I plan to add other models and
components. They need to be managed as separate classes.)

> also, could you clarify the difference between ClovaEmbeddings and
ClovaXEmbeddings?

There are 3 models that are being serviced by embedding, and all are
supported in the current PR. In addition, all the functionality of CLOVA
Studio that serves actual models, such as distinguishing between test
apps and service apps, is supported. The existing PR does not support
this content because it is hard-coded.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Vadym Barda <vadym@langchain.dev>
2024-10-24 20:54:13 +00:00

443 lines
17 KiB
Python

"""**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 importlib
import logging
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from langchain_community.embeddings.aleph_alpha import (
AlephAlphaAsymmetricSemanticEmbedding,
AlephAlphaSymmetricSemanticEmbedding,
)
from langchain_community.embeddings.anyscale import (
AnyscaleEmbeddings,
)
from langchain_community.embeddings.ascend import (
AscendEmbeddings,
)
from langchain_community.embeddings.awa import (
AwaEmbeddings,
)
from langchain_community.embeddings.azure_openai import (
AzureOpenAIEmbeddings,
)
from langchain_community.embeddings.baichuan import (
BaichuanTextEmbeddings,
)
from langchain_community.embeddings.baidu_qianfan_endpoint import (
QianfanEmbeddingsEndpoint,
)
from langchain_community.embeddings.bedrock import (
BedrockEmbeddings,
)
from langchain_community.embeddings.bookend import (
BookendEmbeddings,
)
from langchain_community.embeddings.clarifai import (
ClarifaiEmbeddings,
)
from langchain_community.embeddings.clova import (
ClovaEmbeddings,
)
from langchain_community.embeddings.cohere import (
CohereEmbeddings,
)
from langchain_community.embeddings.dashscope import (
DashScopeEmbeddings,
)
from langchain_community.embeddings.databricks import (
DatabricksEmbeddings,
)
from langchain_community.embeddings.deepinfra import (
DeepInfraEmbeddings,
)
from langchain_community.embeddings.edenai import (
EdenAiEmbeddings,
)
from langchain_community.embeddings.elasticsearch import (
ElasticsearchEmbeddings,
)
from langchain_community.embeddings.embaas import (
EmbaasEmbeddings,
)
from langchain_community.embeddings.ernie import (
ErnieEmbeddings,
)
from langchain_community.embeddings.fake import (
DeterministicFakeEmbedding,
FakeEmbeddings,
)
from langchain_community.embeddings.fastembed import (
FastEmbedEmbeddings,
)
from langchain_community.embeddings.gigachat import (
GigaChatEmbeddings,
)
from langchain_community.embeddings.google_palm import (
GooglePalmEmbeddings,
)
from langchain_community.embeddings.gpt4all import (
GPT4AllEmbeddings,
)
from langchain_community.embeddings.gradient_ai import (
GradientEmbeddings,
)
from langchain_community.embeddings.huggingface import (
HuggingFaceBgeEmbeddings,
HuggingFaceEmbeddings,
HuggingFaceInferenceAPIEmbeddings,
HuggingFaceInstructEmbeddings,
)
from langchain_community.embeddings.huggingface_hub import (
HuggingFaceHubEmbeddings,
)
from langchain_community.embeddings.infinity import (
InfinityEmbeddings,
)
from langchain_community.embeddings.infinity_local import (
InfinityEmbeddingsLocal,
)
from langchain_community.embeddings.ipex_llm import IpexLLMBgeEmbeddings
from langchain_community.embeddings.itrex import (
QuantizedBgeEmbeddings,
)
from langchain_community.embeddings.javelin_ai_gateway import (
JavelinAIGatewayEmbeddings,
)
from langchain_community.embeddings.jina import (
JinaEmbeddings,
)
from langchain_community.embeddings.johnsnowlabs import (
JohnSnowLabsEmbeddings,
)
from langchain_community.embeddings.laser import (
LaserEmbeddings,
)
from langchain_community.embeddings.llamacpp import (
LlamaCppEmbeddings,
)
from langchain_community.embeddings.llamafile import (
LlamafileEmbeddings,
)
from langchain_community.embeddings.llm_rails import (
LLMRailsEmbeddings,
)
from langchain_community.embeddings.localai import (
LocalAIEmbeddings,
)
from langchain_community.embeddings.minimax import (
MiniMaxEmbeddings,
)
from langchain_community.embeddings.mlflow import (
MlflowCohereEmbeddings,
MlflowEmbeddings,
)
from langchain_community.embeddings.mlflow_gateway import (
MlflowAIGatewayEmbeddings,
)
from langchain_community.embeddings.modelscope_hub import (
ModelScopeEmbeddings,
)
from langchain_community.embeddings.mosaicml import (
MosaicMLInstructorEmbeddings,
)
from langchain_community.embeddings.naver import (
ClovaXEmbeddings,
)
from langchain_community.embeddings.nemo import (
NeMoEmbeddings,
)
from langchain_community.embeddings.nlpcloud import (
NLPCloudEmbeddings,
)
from langchain_community.embeddings.oci_generative_ai import (
OCIGenAIEmbeddings,
)
from langchain_community.embeddings.octoai_embeddings import (
OctoAIEmbeddings,
)
from langchain_community.embeddings.ollama import (
OllamaEmbeddings,
)
from langchain_community.embeddings.openai import (
OpenAIEmbeddings,
)
from langchain_community.embeddings.openvino import (
OpenVINOBgeEmbeddings,
OpenVINOEmbeddings,
)
from langchain_community.embeddings.optimum_intel import (
QuantizedBiEncoderEmbeddings,
)
from langchain_community.embeddings.oracleai import (
OracleEmbeddings,
)
from langchain_community.embeddings.ovhcloud import (
OVHCloudEmbeddings,
)
from langchain_community.embeddings.premai import (
PremAIEmbeddings,
)
from langchain_community.embeddings.sagemaker_endpoint import (
SagemakerEndpointEmbeddings,
)
from langchain_community.embeddings.sambanova import (
SambaStudioEmbeddings,
)
from langchain_community.embeddings.self_hosted import (
SelfHostedEmbeddings,
)
from langchain_community.embeddings.self_hosted_hugging_face import (
SelfHostedHuggingFaceEmbeddings,
SelfHostedHuggingFaceInstructEmbeddings,
)
from langchain_community.embeddings.sentence_transformer import (
SentenceTransformerEmbeddings,
)
from langchain_community.embeddings.solar import (
SolarEmbeddings,
)
from langchain_community.embeddings.spacy_embeddings import (
SpacyEmbeddings,
)
from langchain_community.embeddings.sparkllm import (
SparkLLMTextEmbeddings,
)
from langchain_community.embeddings.tensorflow_hub import (
TensorflowHubEmbeddings,
)
from langchain_community.embeddings.textembed import (
TextEmbedEmbeddings,
)
from langchain_community.embeddings.titan_takeoff import (
TitanTakeoffEmbed,
)
from langchain_community.embeddings.vertexai import (
VertexAIEmbeddings,
)
from langchain_community.embeddings.volcengine import (
VolcanoEmbeddings,
)
from langchain_community.embeddings.voyageai import (
VoyageEmbeddings,
)
from langchain_community.embeddings.xinference import (
XinferenceEmbeddings,
)
from langchain_community.embeddings.yandex import (
YandexGPTEmbeddings,
)
from langchain_community.embeddings.zhipuai import (
ZhipuAIEmbeddings,
)
__all__ = [
"AlephAlphaAsymmetricSemanticEmbedding",
"AlephAlphaSymmetricSemanticEmbedding",
"AnyscaleEmbeddings",
"AscendEmbeddings",
"AwaEmbeddings",
"AzureOpenAIEmbeddings",
"BaichuanTextEmbeddings",
"BedrockEmbeddings",
"BookendEmbeddings",
"ClarifaiEmbeddings",
"ClovaEmbeddings",
"ClovaXEmbeddings",
"CohereEmbeddings",
"DashScopeEmbeddings",
"DatabricksEmbeddings",
"DeepInfraEmbeddings",
"DeterministicFakeEmbedding",
"EdenAiEmbeddings",
"ElasticsearchEmbeddings",
"EmbaasEmbeddings",
"ErnieEmbeddings",
"FakeEmbeddings",
"FastEmbedEmbeddings",
"GPT4AllEmbeddings",
"GigaChatEmbeddings",
"GooglePalmEmbeddings",
"GradientEmbeddings",
"HuggingFaceBgeEmbeddings",
"HuggingFaceEmbeddings",
"HuggingFaceHubEmbeddings",
"HuggingFaceInferenceAPIEmbeddings",
"HuggingFaceInstructEmbeddings",
"InfinityEmbeddings",
"InfinityEmbeddingsLocal",
"IpexLLMBgeEmbeddings",
"JavelinAIGatewayEmbeddings",
"JinaEmbeddings",
"JohnSnowLabsEmbeddings",
"LLMRailsEmbeddings",
"LaserEmbeddings",
"LlamaCppEmbeddings",
"LlamafileEmbeddings",
"LocalAIEmbeddings",
"MiniMaxEmbeddings",
"MlflowAIGatewayEmbeddings",
"MlflowCohereEmbeddings",
"MlflowEmbeddings",
"ModelScopeEmbeddings",
"MosaicMLInstructorEmbeddings",
"NLPCloudEmbeddings",
"NeMoEmbeddings",
"OCIGenAIEmbeddings",
"OctoAIEmbeddings",
"OllamaEmbeddings",
"OpenAIEmbeddings",
"OpenVINOBgeEmbeddings",
"OpenVINOEmbeddings",
"OracleEmbeddings",
"OVHCloudEmbeddings",
"PremAIEmbeddings",
"QianfanEmbeddingsEndpoint",
"QuantizedBgeEmbeddings",
"QuantizedBiEncoderEmbeddings",
"SagemakerEndpointEmbeddings",
"SambaStudioEmbeddings",
"SelfHostedEmbeddings",
"SelfHostedHuggingFaceEmbeddings",
"SelfHostedHuggingFaceInstructEmbeddings",
"SentenceTransformerEmbeddings",
"SolarEmbeddings",
"SpacyEmbeddings",
"SparkLLMTextEmbeddings",
"TensorflowHubEmbeddings",
"TextEmbedEmbeddings",
"TitanTakeoffEmbed",
"VertexAIEmbeddings",
"VolcanoEmbeddings",
"VoyageEmbeddings",
"XinferenceEmbeddings",
"YandexGPTEmbeddings",
"ZhipuAIEmbeddings",
]
_module_lookup = {
"AlephAlphaAsymmetricSemanticEmbedding": "langchain_community.embeddings.aleph_alpha", # noqa: E501
"AlephAlphaSymmetricSemanticEmbedding": "langchain_community.embeddings.aleph_alpha", # noqa: E501
"AnyscaleEmbeddings": "langchain_community.embeddings.anyscale",
"AwaEmbeddings": "langchain_community.embeddings.awa",
"AzureOpenAIEmbeddings": "langchain_community.embeddings.azure_openai",
"BaichuanTextEmbeddings": "langchain_community.embeddings.baichuan",
"BedrockEmbeddings": "langchain_community.embeddings.bedrock",
"BookendEmbeddings": "langchain_community.embeddings.bookend",
"ClarifaiEmbeddings": "langchain_community.embeddings.clarifai",
"ClovaEmbeddings": "langchain_community.embeddings.clova",
"ClovaXEmbeddings": "langchain_community.embeddings.naver",
"CohereEmbeddings": "langchain_community.embeddings.cohere",
"DashScopeEmbeddings": "langchain_community.embeddings.dashscope",
"DatabricksEmbeddings": "langchain_community.embeddings.databricks",
"DeepInfraEmbeddings": "langchain_community.embeddings.deepinfra",
"DeterministicFakeEmbedding": "langchain_community.embeddings.fake",
"EdenAiEmbeddings": "langchain_community.embeddings.edenai",
"ElasticsearchEmbeddings": "langchain_community.embeddings.elasticsearch",
"EmbaasEmbeddings": "langchain_community.embeddings.embaas",
"ErnieEmbeddings": "langchain_community.embeddings.ernie",
"FakeEmbeddings": "langchain_community.embeddings.fake",
"FastEmbedEmbeddings": "langchain_community.embeddings.fastembed",
"GPT4AllEmbeddings": "langchain_community.embeddings.gpt4all",
"GooglePalmEmbeddings": "langchain_community.embeddings.google_palm",
"GradientEmbeddings": "langchain_community.embeddings.gradient_ai",
"GigaChatEmbeddings": "langchain_community.embeddings.gigachat",
"HuggingFaceBgeEmbeddings": "langchain_community.embeddings.huggingface",
"HuggingFaceEmbeddings": "langchain_community.embeddings.huggingface",
"HuggingFaceHubEmbeddings": "langchain_community.embeddings.huggingface_hub",
"HuggingFaceInferenceAPIEmbeddings": "langchain_community.embeddings.huggingface",
"HuggingFaceInstructEmbeddings": "langchain_community.embeddings.huggingface",
"InfinityEmbeddings": "langchain_community.embeddings.infinity",
"InfinityEmbeddingsLocal": "langchain_community.embeddings.infinity_local",
"IpexLLMBgeEmbeddings": "langchain_community.embeddings.ipex_llm",
"JavelinAIGatewayEmbeddings": "langchain_community.embeddings.javelin_ai_gateway",
"JinaEmbeddings": "langchain_community.embeddings.jina",
"JohnSnowLabsEmbeddings": "langchain_community.embeddings.johnsnowlabs",
"LLMRailsEmbeddings": "langchain_community.embeddings.llm_rails",
"LaserEmbeddings": "langchain_community.embeddings.laser",
"LlamaCppEmbeddings": "langchain_community.embeddings.llamacpp",
"LlamafileEmbeddings": "langchain_community.embeddings.llamafile",
"LocalAIEmbeddings": "langchain_community.embeddings.localai",
"MiniMaxEmbeddings": "langchain_community.embeddings.minimax",
"MlflowAIGatewayEmbeddings": "langchain_community.embeddings.mlflow_gateway",
"MlflowCohereEmbeddings": "langchain_community.embeddings.mlflow",
"MlflowEmbeddings": "langchain_community.embeddings.mlflow",
"ModelScopeEmbeddings": "langchain_community.embeddings.modelscope_hub",
"MosaicMLInstructorEmbeddings": "langchain_community.embeddings.mosaicml",
"NLPCloudEmbeddings": "langchain_community.embeddings.nlpcloud",
"NeMoEmbeddings": "langchain_community.embeddings.nemo",
"OCIGenAIEmbeddings": "langchain_community.embeddings.oci_generative_ai",
"OctoAIEmbeddings": "langchain_community.embeddings.octoai_embeddings",
"OllamaEmbeddings": "langchain_community.embeddings.ollama",
"OpenAIEmbeddings": "langchain_community.embeddings.openai",
"OpenVINOEmbeddings": "langchain_community.embeddings.openvino",
"OpenVINOBgeEmbeddings": "langchain_community.embeddings.openvino",
"QianfanEmbeddingsEndpoint": "langchain_community.embeddings.baidu_qianfan_endpoint", # noqa: E501
"QuantizedBgeEmbeddings": "langchain_community.embeddings.itrex",
"QuantizedBiEncoderEmbeddings": "langchain_community.embeddings.optimum_intel",
"OracleEmbeddings": "langchain_community.embeddings.oracleai",
"OVHCloudEmbeddings": "langchain_community.embeddings.ovhcloud",
"SagemakerEndpointEmbeddings": "langchain_community.embeddings.sagemaker_endpoint",
"SambaStudioEmbeddings": "langchain_community.embeddings.sambanova",
"SelfHostedEmbeddings": "langchain_community.embeddings.self_hosted",
"SelfHostedHuggingFaceEmbeddings": "langchain_community.embeddings.self_hosted_hugging_face", # noqa: E501
"SelfHostedHuggingFaceInstructEmbeddings": "langchain_community.embeddings.self_hosted_hugging_face", # noqa: E501
"SentenceTransformerEmbeddings": "langchain_community.embeddings.sentence_transformer", # noqa: E501
"SolarEmbeddings": "langchain_community.embeddings.solar",
"SpacyEmbeddings": "langchain_community.embeddings.spacy_embeddings",
"SparkLLMTextEmbeddings": "langchain_community.embeddings.sparkllm",
"TensorflowHubEmbeddings": "langchain_community.embeddings.tensorflow_hub",
"VertexAIEmbeddings": "langchain_community.embeddings.vertexai",
"VolcanoEmbeddings": "langchain_community.embeddings.volcengine",
"VoyageEmbeddings": "langchain_community.embeddings.voyageai",
"XinferenceEmbeddings": "langchain_community.embeddings.xinference",
"TextEmbedEmbeddings": "langchain_community.embeddings.textembed",
"TitanTakeoffEmbed": "langchain_community.embeddings.titan_takeoff",
"PremAIEmbeddings": "langchain_community.embeddings.premai",
"YandexGPTEmbeddings": "langchain_community.embeddings.yandex",
"AscendEmbeddings": "langchain_community.embeddings.ascend",
"ZhipuAIEmbeddings": "langchain_community.embeddings.zhipuai",
}
def __getattr__(name: str) -> Any:
if name in _module_lookup:
module = importlib.import_module(_module_lookup[name])
return getattr(module, name)
raise AttributeError(f"module {__name__} has no attribute {name}")
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)