使用ollama取代openai的api进行graphRAG失败记录

pip install ollama

pip install langchain_ollama

graph_documents = llm_transformer.convert_to_graph_documents(split_documents)

print(graph_documents)

偶尔会成功,但是大部分是失败的:

报错记录如下,暂时没想到好的办法:

python 复制代码
---------------------------------------------------------------------------
ValidationError                           Traceback (most recent call last)
Cell In[64], line 2
      1 # Transform documents to graph documents
----> 2 graph_documents = llm_transformer.convert_to_graph_documents(split_documents)
      3 print(graph_documents)

File D:\anaconda3\envs\graphRAG\lib\site-packages\langchain_experimental\graph_transformers\llm.py:762, in LLMGraphTransformer.convert_to_graph_documents(self, documents)
    750 def convert_to_graph_documents(
    751     self, documents: Sequence[Document]
    752 ) -> List[GraphDocument]:
    753     """Convert a sequence of documents into graph documents.
    754 
    755     Args:
   (...)
    760         Sequence[GraphDocument]: The transformed documents as graphs.
    761     """
--> 762     return [self.process_response(document) for document in documents]

File D:\anaconda3\envs\graphRAG\lib\site-packages\langchain_experimental\graph_transformers\llm.py:762, in <listcomp>(.0)
    750 def convert_to_graph_documents(
    751     self, documents: Sequence[Document]
    752 ) -> List[GraphDocument]:
    753     """Convert a sequence of documents into graph documents.
    754 
    755     Args:
   (...)
    760         Sequence[GraphDocument]: The transformed documents as graphs.
    761     """
--> 762     return [self.process_response(document) for document in documents]

File D:\anaconda3\envs\graphRAG\lib\site-packages\langchain_experimental\graph_transformers\llm.py:718, in LLMGraphTransformer.process_response(self, document)
    715     nodes_set.add((rel["tail"], rel["tail_type"]))
    717     source_node = Node(id=rel["head"], type=rel["head_type"])
--> 718     target_node = Node(id=rel["tail"], type=rel["tail_type"])
    719     relationships.append(
    720         Relationship(
    721             source=source_node, target=target_node, type=rel["relation"]
    722         )
    723     )
    724 # Create nodes list

File D:\anaconda3\envs\graphRAG\lib\site-packages\pydantic\v1\main.py:341, in BaseModel.__init__(__pydantic_self__, **data)
    339 values, fields_set, validation_error = validate_model(__pydantic_self__.__class__, data)
    340 if validation_error:
--> 341     raise validation_error
    342 try:
    343     object_setattr(__pydantic_self__, '__dict__', values)

ValidationError: 2 validation errors for Node
id
  none is not an allowed value (type=type_error.none.not_allowed)
type
  none is not an allowed value (type=type_error.none.not_allowed)
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