Closed lucasdnr closed 10 months ago
🤖
Hello @lucasdnr,
I'm Dosu, a bot designed to assist with LangChain. I can help with bug resolution, answer questions, and guide you if you're interested in becoming a contributor. While we wait for a human maintainer, I'm here to assist you. I'm currently looking into your issue and will get back to you with a comprehensive response shortly.
🤖
Based on the error message you provided, it seems like the 'openai' module does not have an attribute 'Embedding'. This is likely due to a version mismatch between the 'openai' module and the 'LangChain' framework.
The 'Embedding' attribute is attempted to be accessed in the 'validate_environment' method of the 'OpenAIEmbeddings' class in LangChain. However, the 'openai' module does not have an 'Embedding' attribute, hence the AttributeError.
This could be due to a version mismatch between the 'openai' module and the 'LangChain' framework. It's possible that the 'Embedding' attribute was present in a previous version of the 'openai' module but has been removed or renamed in the version you're using (1.1.0).
To resolve this issue, you may need to use a different version of the 'openai' module that includes the 'Embedding' attribute, or update the 'LangChain' framework to a version that's compatible with 'openai' version 1.1.0.
In the LangChain framework, the 'Embedding' attribute in the 'openai' module refers to the 'OpenAIEmbeddings' class. This class is used to interact with the OpenAI API to generate embeddings for given texts.
The 'OpenAIEmbeddings' class has several methods and attributes that facilitate the generation of embeddings. Some of the key methods include embed_documents
, aembed_documents
, embed_query
, and aembed_query
.
Here is a snippet of the class definition:
class OpenAIEmbeddings(BaseModel, Embeddings):
model: str = "text-embedding-ada-002"
embedding_ctx_length: int = 8191
max_retries: int = 6
show_progress_bar: bool = False
...
def embed_documents(
self, texts: List[str], chunk_size: Optional[int] = 0
) -> List[List[float]]:
return self._get_len_safe_embeddings(texts, engine=self.deployment)
async def aembed_documents(
self, texts: List[str], chunk_size: Optional[int] = 0
) -> List[List[float]]:
return await self._aget_len_safe_embeddings(texts, engine=self.deployment)
def embed_query(self, text: str) -> List[float]:
return self.embed_documents([text])[0]
async def aembed_query(self, text: str) -> List[float]:
embeddings = await self.aembed_documents([text])
return embeddings[0]
You can find more details about this class in the LangChain source code.
I hope this helps! If you have any other questions or need further clarification, feel free to ask.
This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.
Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.
If you want to continue the conversation, start your reply with @dosu-bot.
Having the same issue here! Still don't know what is happening... I was trying to generate embeddings on a Google Colab, in which everybody suggested updating the python version but apparently was not the case? Tried the bot response above but with no luck
I am also having the same issue. Dropped back several version of openai library to no avail. I am using python 3.11.4. Latest openai (1.1.1) and langchain 0.0.331. I also attempted version 0.0.330 of langchain and still getting the same issue. The openai library seems to use openai.embeddings instead of openai.Embedding.
I'm also having the same issue with Python 3.11.4, openai (1.1.1), and LangChain 0.0.331.
I'm also having the same issue with Python 3.11.4, openai (1.1.1), and LangChain 0.0.331.
Temporal "fix".. pin openai to 0.28.1 version! @alexmc2
openai==0.28.1
It looks like openai-python restructured package at the recent v1.0.x release https://github.com/langchain-ai/langchain/issues/12967#issuecomment-1797092130. This is likely the root cause that langchain can't find a designated class in openai
package namespace.
We need to find an alternative class in the new architecture.
I'm also having the same issue with Python 3.11.4, openai (1.1.1), and LangChain 0.0.331.
Temporal "fix".. pin openai to 0.28.1 version! @alexmc2
openai==0.28.1
It's working! Thanks so much @benjaminbascary! :D
Having this same issue as well, trying the fix
Update: Worked!
Uninstalling the current openai package, and installing openai==0.28.1
is the current solution.
Thanks a bunch, @benjaminbascary !
Hoping for a comprehensive fix for this issue though
I'm also having the same issue with Python 3.11.4, openai (1.1.1), and LangChain 0.0.331.
Temporal "fix".. pin openai to 0.28.1 version! @alexmc2
openai==0.28.1
Life Saver !!
I'm also having the same issue with Python 3.11.4, openai (1.1.1), and LangChain 0.0.331.
Temporal "fix".. pin openai to 0.28.1 version! @alexmc2
openai==0.28.1
Thanks, it worked for me.
I'm also having the same issue with Python 3.11.4, openai (1.1.1), and LangChain 0.0.331.
Temporal "fix".. pin openai to 0.28.1 version! @alexmc2
openai==0.28.1
Thank you, it worked for me.
I'm also having the same issue with Python 3.11.4, openai (1.1.1), and LangChain 0.0.331.
Temporal "fix".. pin openai to 0.28.1 version! @alexmc2
openai==0.28.1
@benjaminbascary that worked. thanks!
I have the same issue in Colab
same issue on colab, even with openai==0.28.1..
It works with openai==0.28.1, but need to restart kernel after re-install
Many thanks 🙏
On Wed, 8 Nov, 2023, 4:27 am Seifeur guizeni, @.***> wrote:
same issue on collab, even with openai==0.28.1..
— Reply to this email directly, view it on GitHub https://github.com/langchain-ai/langchain/issues/12954#issuecomment-1800726369, or unsubscribe https://github.com/notifications/unsubscribe-auth/AUS2GB6HS7IH6SHTYHCFT2LYDLGXDAVCNFSM6AAAAAA7AFKVDCVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQMBQG4ZDMMZWHE . You are receiving this because you commented.Message ID: @.***>
Yes openai = "0.28.1" solves the problem thanks!
is there any update - want to use this with new version of openai so i can use the latest models
Solved in the latest update.
Thanks
On Sun, 12 Nov, 2023, 3:43 am Seifeur guizeni, @.***> wrote:
Solved in the latest update.
— Reply to this email directly, view it on GitHub https://github.com/langchain-ai/langchain/issues/12954#issuecomment-1806945457, or unsubscribe https://github.com/notifications/unsubscribe-auth/AUS2GB6MEYI2NWG4WPQT2V3YEAESHAVCNFSM6AAAAAA7AFKVDCVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQMBWHE2DKNBVG4 . You are receiving this because you commented.Message ID: @.***>
Solved in the last update 0.0.335
.
Thank you
openai==0.28.1
thank you!!!!!!!!!!!!
my langchain Version: 0.0.316 openai==0.28.1
works for me too.
It works for me too
System Info
LangChain: 0.0.331 OpenAI: 1.1.0 Python: 3.11.2
Who can help?
@hwchase17 @agola11
Information
Related Components
Reproduction
Full Message:
Code line caught this error:
index = VectorstoreIndexCreator(vectorstore_kwargs={"persist_directory":"persist"}).from_loaders([loader])
Expected behavior
Creates Vector Store Index