dosubot[bot]
commented
11 months ago 🤖
Hello,
The error AttributeError: 'list' object has no attribute 'embedding' typically occurs when you're trying to access an attribute or method that doesn't exist for the object you're working with. In this case, it seems like you're trying to call the embedding method on a list object, which doesn't exist.
From the traceback you provided, the error seems to be occurring in the max_marginal_relevance_search method of the langchain/vectorstores/docarray/base.py file. This method expects docs to be a list of BaseDoc instances.
The BaseDoc class should have an embedding attribute, so if you're getting an AttributeError, it's possible that the docs object is not a list of BaseDoc instances, or the embedding attribute is not being set correctly.
To debug this issue, you could add some print statements or use a debugger to check the type and attributes of the docs object before the line where the error occurs. This should help you identify what's causing the error.
If you're still having trouble, please provide the code snippet where you're calling the max_marginal_relevance_search method, and I'll be happy to help you further.
Best, Dosu
Sources
- libs/langchain/langchain/embeddings/huggingface_hub.py
- libs/langchain/langchain/embeddings/deepinfra.py
- libs/langchain/langchain/embeddings/base.py
- libs/langchain/langchain/embeddings/elasticsearch.py
- libs/langchain/langchain/vectorstores/docarray/base.py
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Issue you'd like to raise.
Hello, I am facing some issues with the code I am trying to run as it did run perfectly up until recently when an Error started being thrown out as AttributeError: 'list' object has no attribute 'embedding'. Below is the traceback if the error. Please do let me know if some code snippet excerpts will also be needed to facilitate debugging the code.
Traceback: File "/home/ataliba/llm/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 552, in _run_script exec(code, module.dict) File "/home/ataliba/LLM_Workshop/Experimental_Lama_QA_Retrieval/Andro_GPT_Llama2.py", line 268, in
response = qa_chain.run(user_query, callbacks=[cb])
File "/home/ataliba/llm/lib/python3.10/site-packages/langchain/chains/base.py", line 481, in run
return self(args[0], callbacks=callbacks, tags=tags, metadata=metadata)[
File "/home/ataliba/llm/lib/python3.10/site-packages/langchain/chains/base.py", line 288, in call
raise e
File "/home/ataliba/llm/lib/python3.10/site-packages/langchain/chains/base.py", line 282, in call
self._call(inputs, run_manager=run_manager)
File "/home/ataliba/llm/lib/python3.10/site-packages/langchain/chains/conversational_retrieval/base.py", line 134, in _call
docs = self._get_docs(new_question, inputs, run_manager=_run_manager)
File "/home/ataliba/llm/lib/python3.10/site-packages/langchain/chains/conversational_retrieval/base.py", line 286, in _get_docs
docs = self.retriever.get_relevant_documents(
File "/home/ataliba/llm/lib/python3.10/site-packages/langchain/schema/retriever.py", line 208, in get_relevant_documents
raise e
File "/home/ataliba/llm/lib/python3.10/site-packages/langchain/schema/retriever.py", line 201, in get_relevant_documents
result = self._get_relevant_documents(
File "/home/ataliba/llm/lib/python3.10/site-packages/langchain/vectorstores/base.py", line 571, in _get_relevant_documents
docs = self.vectorstore.max_marginal_relevance_search(
File "/home/ataliba/llm/lib/python3.10/site-packages/langchain/vectorstores/docarray/base.py", line 197, in max_marginal_relevance_search
np.array(query_embedding), docs.embedding, k=k
Suggestion:
No response