embeddings:AttributeError: 'tuple' object has no attribute 'embed_documents'

[Hikizzz]

Checked other resources

• [X] I added a very descriptive title to this issue.
• [X] I searched the LangChain documentation with the integrated search.
• [X] I used the GitHub search to find a similar question and didn't find it.
• [X] I am sure that this is a bug in LangChain rather than my code.
• [X] The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).

Example Code

embeddings=HuggingFaceBgeEmbeddings(model_name="BAAI/bge-m3"),
vector_a,vector_b = embeddings.embed_documents([text1, text2])

Error Message and Stack Trace (if applicable)

Traceback (most recent call last): File "/home/HwHiAiUser/aircasLLM/src/langchain/toolkit.py", line 126, in print(textSimChain.invoke({ File "/usr/local/miniconda3/envs/dg/lib/python3.10/site-packages/langchain_core/runnables/base.py", line 4713, in invoke return self._call_with_config( File "/usr/local/miniconda3/envs/dg/lib/python3.10/site-packages/langchain_core/runnables/base.py", line 1927, in _call_with_config context.run( File "/usr/local/miniconda3/envs/dg/lib/python3.10/site-packages/langchain_core/runnables/config.py", line 396, in call_func_withvariable return func(input, kwargs) # type: ignore[call-arg] File "/usr/local/miniconda3/envs/dg/lib/python3.10/site-packages/langchain_core/runnables/base.py", line 4567, in _invoke output = call_func_with_variable_args( File "/usr/local/miniconda3/envs/dg/lib/python3.10/site-packages/langchain_core/runnables/config.py", line 396, in call_func_withvariable return func(input, kwargs) # type: ignore[call-arg] File "/home/HwHiAiUser/aircasLLM/src/langchain/toolkit.py", line 73, in textSimChain vector_a,vector_b = embeddings.embed_documents([text1, text2]) AttributeError: 'tuple' object has no attribute 'embed_documents'

Description

• I'm trying to encoding two strings to vector using embeddings.embed_documents().but not works
• I have done itcorrectly on ubuntu18,x86 pc with nvidia gpu and intel cpu,using ollamaEmbedding().
• but when transferring it to .ky10.aarch64,it doesn‘t work.
• i have tested lastest version and my old version,including langchain(v0.2.1,0.3.4),langchain_core(v0.2.26,v0.3.3),langchain_community(v0.2.10,v0.3.3)
• i have test HuggingFaceBgeEmbeddings,HuggingFaceEmbeddings,AscendEmbeddings(using npu on this server)，the erro information is same.
• i have test online models(autoDownload by HuggingFaceEmbeddings) and local model,include BAAI/bge-m3 and aspire/acge_text_embedding.
• other langchain library or functions work including langchain_core.runnables,langchain_openai,....
• i have checked https://github.com/langchain-ai/langchain/issues/26759 and https://github.com/langchain-ai/langchain/issues/23215.but it seems helpless
• it seems the error only occurs in funtcntions decorated by "\@chain" !I make a custiomEmbedding class inherited from embeddings and baseModel from langchain_core and test it isolated i,it works.but putting it in a chainFuction，it works bad.

System Info

System Information

OS: Linux OS Version: #1 SMP Sun Jun 28 14:27:40 CST 2020 Python Version: 3.10.15 (main, Oct 3 2024, 07:21:53) [GCC 11.2.0]

Package Information

langchain_core: 0.3.12 langchain: 0.3.4 langchain_community: 0.3.3 langsmith: 0.1.136 langchain_chroma: 0.1.2 langchain_huggingface: 0.0.3 langchain_ollama: 0.1.1 langchain_openai: 0.1.19 langchain_text_splitters: 0.3.0 langserve: 0.2.2

Optional packages not installed

langgraph

Other Dependencies

aiohttp: 3.10.10 async-timeout: 4.0.3 chromadb: 0.5.15 dataclasses-json: 0.6.7 fastapi: 0.115.2 httpx: 0.27.2 huggingface-hub: 0.26.0 jsonpatch: 1.33 numpy: 1.26.4 ollama: 0.3.3 openai: 1.52.0 orjson: 3.10.9 packaging: 24.1 pydantic: 2.7.4 pydantic-settings: 2.6.0 pyproject-toml: 0.0.10 PyYAML: 6.0.2 requests: 2.32.3 requests-toolbelt: 1.0.0 sentence-transformers: 2.7.0 SQLAlchemy: 2.0.36 sse-starlette: 1.8.2 tenacity: 8.5.0 tiktoken: 0.8.0 tokenizers: 0.20.1 transformers: 4.45.2 typing-extensions: 4.12.2

[isLenk]

Hello, it appears you have a comma on the first line: embeddings=HuggingFaceBgeEmbeddings(model_name="BAAI/bge-m3"),

class A:
    def embed_documents(self, texts):
        return texts

V=A(),
a,b = V.embed_documents([1,2])

AttributeError: 'tuple' object has no attribute 'embed_documents'

Does the issue persist without it?