langchain导入报错

Question

langchain导入报错

from langchain_community.embeddings import HuggingFaceBgeEmbeddings
model_name = "sentence-transformers/all-mpnet-base-v2"
model_kwargs = {"device": "cpu"}
encode_kwargs = {"normalize_embeddings": True}
hf = HuggingFaceBgeEmbeddings(
    model_name=model_name, model_kwargs=model_kwargs, encode_kwargs=encode_kwargs
)

报错界面

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
Cell In[12], line 1
----> 1 from langchain_community.embeddings import HuggingFaceBgeEmbeddings
      2 model_name = "sentence-transformers/all-mpnet-base-v2"
      3 model_kwargs = {"device": "cpu"}

File d:\libsoftware\Anaconda\envs\DLcpu.vision\lib\site-packages\langchain_community\embeddings\__init__.py:425, in __getattr__(name)
    423 def __getattr__(name: str) -> Any:
    424     if name in _module_lookup:
--> 425         module = importlib.import_module(_module_lookup[name])
    426         return getattr(module, name)
    427     raise AttributeError(f"module {__name__} has no attribute {name}")

File d:\libsoftware\Anaconda\envs\DLcpu.vision\lib\importlib\__init__.py:127, in import_module(name, package)
    125             break
    126         level += 1
--> 127 return _bootstrap._gcd_import(name[level:], package, level)

File d:\libsoftware\Anaconda\envs\DLcpu.vision\lib\site-packages\langchain_community\embeddings\huggingface.py:6
      4 import requests
      5 from langchain_core._api import deprecated, warn_deprecated
----> 6 from langchain_core.embeddings import Embeddings
      7 from pydantic import BaseModel, ConfigDict, Field, SecretStr
      9 DEFAULT_MODEL_NAME = "sentence-transformers/all-mpnet-base-v2"

File d:\libsoftware\Anaconda\envs\DLcpu.vision\lib\site-packages\langchain_core\embeddings\__init__.py:1
----> 1 from langchain_core.embeddings.embeddings import Embeddings
      2 from langchain_core.embeddings.fake import DeterministicFakeEmbedding, FakeEmbeddings
      4 __all__ = ["DeterministicFakeEmbedding", "Embeddings", "FakeEmbeddings"]

File d:\libsoftware\Anaconda\envs\DLcpu.vision\lib\site-packages\langchain_core\embeddings\embeddings.py:5
      1 """**Embeddings** interface."""
      3 from abc import ABC, abstractmethod
----> 5 from langchain_core.runnables.config import run_in_executor
      8 class Embeddings(ABC):
      9     """Interface for embedding models.
     10 
     11     This is an interface meant for implementing text embedding models.
   (...)
     33     an async native implementation for performance reasons.
     34     """

File d:\libsoftware\Anaconda\envs\DLcpu.vision\lib\site-packages\langchain_core\runnables\__init__.py:20
      1 """LangChain **Runnable** and the **LangChain Expression Language (LCEL)**.
      2 
      3 The LangChain Expression Language (LCEL) offers a declarative method to build
   (...)
     17 This module contains schema and implementation of LangChain Runnables primitives.
     18 """
---> 20 from langchain_core.runnables.base import (
     21     Runnable,
     22     RunnableBinding,
     23     RunnableGenerator,
     24     RunnableLambda,
     25     RunnableMap,
     26     RunnableParallel,
     27     RunnableSequence,
     28     RunnableSerializable,
     29     chain,
     30 )
     31 from langchain_core.runnables.branch import RunnableBranch
     32 from langchain_core.runnables.config import (
     33     RunnableConfig,
     34     ensure_config,
   (...)
     37     run_in_executor,
     38 )

File d:\libsoftware\Anaconda\envs\DLcpu.vision\lib\site-packages\langchain_core\runnables\base.py:39
     24 from types import GenericAlias
     25 from typing import (
     26     TYPE_CHECKING,
     27     Any,
   (...)
     36     overload,
     37 )
---> 39 from pydantic import BaseModel, ConfigDict, Field, RootModel
     40 from typing_extensions import Literal, get_args, override
     42 from langchain_core._api import beta_decorator

ImportError: cannot import name 'RootModel' from 'pydantic' (d:\libsoftware\Anaconda\envs\DLcpu.vision\lib\site-packages\pydantic\__init__.cp39-win_amd64.pyd)

Answer 1

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问题解答

langchain 是一个基于 Hugging Face 的语言模型库，用于自然语言处理任务。从你的问题中，我可以看到你尝试导入 langchain 的 HuggingFaceBgeEmbeddings 模块，但是报错了。

可能的解决方案是：

1. 检查你的 Python 版本是否支持 langchain。langchain 支持 Python 3.8 及更高版本。
2. 检查你的 pip 版本是否最新。如果你的 pip 版本过低，可以升级 pip 到最新版本。
3. 尝试使用 pip install --upgrade langchain 命令升级 langchain 到最新版本。
4. 如果以上方法都不能解决问题，可以尝试使用 import 语句的完整路径，例如 from langchain_community.embeddings import hugging_face_bge_embeddings。

如果你仍然无法解决问题，可以提供更多的错误信息或代码，帮助我更好地 debug。