gpt4all+langchain_chain(RetrievalQAWithSourcesChain)

[Kuramdasu-ujwala-devi]

Issue you'd like to raise.

def generate_answer(vector_store, question): chain = load_chain("qna/configs/chains/qa_with_sources_gpt4all.json") # print(chain) # qa = VectorDBQAWithSourcesChain(combine_document_chain=chain, vectorstore=vector_store) qa = RetrievalQAWithSourcesChain(combine_document_chain=chain, retriever= vector_store.as_retriever() ) result = send_prompt(qa, question) return result

Im experimenting chain module , so i executed above code using openai model when coming to gpt4all- groovy model. it is throwing error

Suggestion:

Can you suggest me whether Im doing right or wrong. Does gpt4all model supported or not?

[dosubot[bot]]

Answer generated by a 🤖

Answer

I understand that you're experimenting with the LangChain module and you're encountering an error when trying to use the GPT4All model. You're asking whether the GPT4All model is supported and if you're using it correctly.

Yes, the LangChain framework does indeed support the GPT4All model. The error you're experiencing might be due to an incorrect configuration or usage. Here's how you can use the GPT4All model with LangChain:

from langchain import PromptTemplate, LLMChain
from langchain.llms import GPT4All
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler

template = """Question: {question}

Answer: Let's think step by step."""

prompt = PromptTemplate(template=template, input_variables=["question"])

local_path = (
    "./models/ggml-gpt4all-l13b-snoozy.bin"  # replace with your desired local file path
)

callbacks = [StreamingStdOutCallbackHandler()]

llm = GPT4All(model=local_path, callbacks=callbacks, verbose=True)

llm_chain = LLMChain(prompt=prompt, llm=llm)

question = "What NFL team won the Super Bowl in the year Justin Bieber was born?"

llm_chain.run(question)

Please ensure that the gpt4all python package is installed and the pre-trained model file is available at the specified path. If the model does not exist in ~/.cache/gpt4all/, you can allow it to download by setting allow_download=True.

Also, make sure to correctly configure the RetrievalQAWithSourcesChain with the GPT4All model. If the error persists, it might be due to other issues in your code or environment.

Please note that this is one potential solution and there might be other factors at play causing the error. Also, as an AI, I can only see text and cannot see images or links.

If you find this solution correct and it's not covered by the existing documentation, I encourage you to make a pull request to update the documentation. This will help other users who might encounter the same issue.

Sources

• langchain/chains/retrieval_qa/base.py
• langchain/llms/gpt4all.py
• docs/extras/modules/model_io/models/llms/integrations/gpt4all.ipynb

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[Kuramdasu-ujwala-devi]

It is because of upgrading langchain and gpt4all.

[dosubot[bot]]

Hi, @Kuramdasu-ujwala-devi! I'm Dosu, and I'm here to help the LangChain team manage their backlog. I wanted to let you know that we are marking this issue as stale.

From what I understand, you encountered an error when using the gpt4all model in the chain module. You were seeking guidance on whether you were using the model correctly and if it is supported. Dosubot provided a potential solution, suggesting that the error might be due to an incorrect configuration or usage. You mentioned that the error is occurring after upgrading langchain and gpt4all.

If this issue is still relevant to the latest version of the LangChain repository, please let us know by commenting on this issue. Otherwise, feel free to close the issue yourself. If we don't hear back from you within 7 days, the issue will be automatically closed.

Thank you for your understanding and contribution to the LangChain project! Let us know if you have any further questions or concerns.