使用llama-index，在调用 KnowledgeGraphIndex.from_documents()方法是报错，
报错内容如下：
Traceback (most recent call last):
File "D:\code_llm\LLama-Index\lcm3.py", line 56, in <module>
kg_index = KnowledgeGraphIndex.from_documents(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\gogoLcm\.conda\envs\llama-index\Lib\site-packages\llama_index\core\indices\base.py", line 145, in from_documents
return cls(
^^^^
File "C:\Users\gogoLcm\.conda\envs\llama-index\Lib\site-packages\llama_index\core\indices\knowledge_graph\base.py", line 109, in __init__
super().__init__(
File "C:\Users\gogoLcm\.conda\envs\llama-index\Lib\site-packages\llama_index\core\indices\base.py", line 94, in __init__
index_struct = self.build_index_from_nodes(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\gogoLcm\.conda\envs\llama-index\Lib\site-packages\llama_index\core\indices\base.py", line 216, in build_index_from_nodes
return self._build_index_from_nodes(nodes, **build_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\gogoLcm\.conda\envs\llama-index\Lib\site-packages\llama_index\core\indices\knowledge_graph\base.py", line 215, in _build_index_from_nodes
triplets = self._extract_triplets(
^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\gogoLcm\.conda\envs\llama-index\Lib\site-packages\llama_index\core\indices\knowledge_graph\base.py", line 159, in _extract_triplets
return self._llm_extract_triplets(text)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\gogoLcm\.conda\envs\llama-index\Lib\site-packages\llama_index\core\indices\knowledge_graph\base.py", line 163, in _llm_extract_triplets
response = self._llm.predict(
^^^^^^^^^^^^^^^^^^
File "C:\Users\gogoLcm\.conda\envs\llama-index\Lib\site-packages\llama_index\core\instrumentation\dispatcher.py", line 230, in wrapper
result = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\gogoLcm\.conda\envs\llama-index\Lib\site-packages\llama_index\core\llms\llm.py", line 559, in predict
chat_response = self.chat(messages)
^^^^^^^^^^^^^^^^^^^
File "C:\Users\gogoLcm\.conda\envs\llama-index\Lib\site-packages\llama_index\core\instrumentation\dispatcher.py", line 230, in wrapper
result = func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\gogoLcm\.conda\envs\llama-index\Lib\site-packages\llama_index\core\llms\callbacks.py", line 172, in wrapped_llm_chat
f_return_val = f(_self, messages, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\gogoLcm\.conda\envs\llama-index\Lib\site-packages\llama_index\llms\ollama\base.py", line 261, in chat
response = self.client.chat(
^^^^^^^^^^^^^^^^^
File "C:\Users\gogoLcm\.conda\envs\llama-index\Lib\site-packages\ollama\_client.py", line 235, in chat
return self._request_stream(
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\gogoLcm\.conda\envs\llama-index\Lib\site-packages\ollama\_client.py", line 98, in _request_stream
return self._stream(*args, **kwargs) if stream else self._request(*args, **kwargs).json()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\gogoLcm\.conda\envs\llama-index\Lib\site-packages\ollama\_client.py", line 74, in _request
raise ResponseError(e.response.text, e.response.status_code) from None
ollama._types.ResponseError
Exception ignored in: <function NebulaGraphStore.__del__ at 0x000002D6D22E2840>
我的代码：
# 加载文档数据
documents = SimpleDirectoryReader(
"data"
).load_data()
# print('>>> documents : ', documents)
# 初始化Nebula图存储
graph_store = NebulaGraphStore(
space_name=space_name,
edge_types=edge_types,
rel_prop_names=rel_prop_names,
tags=tags
)
# print('>>> graph_store : ', graph_store)
# 创建存储上下文
storage_context = StorageContext.from_defaults(graph_store=graph_store)
# print('>>> storage_context : ', storage_context)
# 构建知识图谱索引
kg_index = KnowledgeGraphIndex.from_documents(
documents,
storage_context=storage_context,
max_triplets_per_chunk=10,
include_embeddings=True,
# space_name=space_name,
# edge_types=edge_types,
# rel_prop_names=rel_prop_names,
# tags=tags,
)
print('>>> kg_index : ', kg_index )
版本：
llama-cloud 0.0.11
llama-index 0.10.58
llama-index-agent-openai 0.2.9
llama-index-cli 0.1.13
llama-index-core 0.10.58
llama-index-embeddings-huggingface 0.2.2
llama-index-embeddings-ollama 0.1.2
llama-index-embeddings-openai 0.1.11
llama-index-graph-stores-nebula 0.2.0
llama-index-indices-managed-llama-cloud 0.2.7
llama-index-legacy 0.9.48
llama-index-llms-ollama 0.2.2
llama-index-llms-openai 0.1.27
llama-index-multi-modal-llms-openai 0.1.8
llama-index-program-openai 0.1.7
llama-index-question-gen-openai 0.1.3
llama-index-readers-file 0.1.31
llama-index-readers-llama-parse 0.1.6
llama-parse 0.4.9
ollama 0.3.0
请问各位大佬在调试的过程中遇到过这个问题么？是如何解决的。感谢！