Use ollama and deepseek-r1:1.5b can't generate graph

[qpb8023]

The error occurs in the langchain_experimental/graph_transformers/llm.py aprocess_response function.
How to fix it ?

-----
{'head': '作者', 'head_type': '相关人物', 'relation': {'涉及人物': {'描述': '与相关的人物角色有关'}}, 'tail': '研究成果', 'tail_type': '成果'}
-----
2025-02-24 17:26:41,801 - Deleted File Path: /Users/tiutiutiu/Desktop/llm-graph-builder/backend/merged_files/《教育心理学》.pdf and Deleted File Name : 《教育心理学》.pdf
[ERROR]{'api_name': 'extract', 'message': 'Failed To Process File:《教育心理学》.pdf or LLM Unable To Parse Content ', 'file_created_at': '2025-02-24 16:21:15 ', 'error_message': "1 validation error for Relationship\ntype\n  Input should be a valid string [type=string_type, input_value={'涉及人物': {'描述. input_type=dict]\n    For further information visit https://errors.pydantic.dev/2.9/v/string_type", 'file_name': '《教育心理学》.pdf', 'status': 'Failed', 'db_url': 'neo4j://192.168.6.6:7688', 'userName': 'neo4j', 'database': 'neo4j', 'failed_count': 1, 'source_type': 'local file', 'source_url': None, 'wiy': None, 'logging_time': '2025-02-24 09:26:41 UTC', 'email': None}
2025-02-24 17:26:41,809 - File Failed in extraction: 1 validation error for Relationship
type
  Input should be a valid string [type=string_type, input_value={'涉及人物': {'描述...的人物角色有关'}}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.9/v/string_type
Traceback (most recent call last):
  File "/Users/tiutiutiu/Desktop/llm-graph-builder/backend/score.py", line 222, in extract_knowledge_graph_from_file
    uri_latency, result = await extract_graph_from_file_local_file(uri, userName, password, database, model, merged_file_path, file_name, allowedNodes, allowedRelationship, token_chunk_size, chunk_overlap, chunks_to_combine, retry_condition, additional_instructions)
  File "/Users/tiutiutiu/Desktop/llm-graph-builder/backend/src/main.py", line 238, in extract_graph_from_file_local_file
    return await processing_source(uri, userName, password, database, model, fileName, [], allowedNodes, allowedRelationship, token_chunk_size, chunk_overlap, chunks_to_combine, True, merged_file_path, retry_condition, additional_instructions=additional_instructions)
  File "/Users/tiutiutiu/Desktop/llm-graph-builder/backend/src/main.py", line 383, in processing_source
    node_count,rel_count,latency_processed_chunk = await processing_chunks(selected_chunks,graph,uri, userName, password, database,file_name,model,allowedNodes,allowedRelationship,chunks_to_combine,node_count, rel_count, additional_instructions)
  File "/Users/tiutiutiu/Desktop/llm-graph-builder/backend/src/main.py", line 478, in processing_chunks
    graph_documents =  await get_graph_from_llm(model, chunkId_chunkDoc_list, allowedNodes, allowedRelationship, chunks_to_combine, additional_instructions)
  File "/Users/tiutiutiu/Desktop/llm-graph-builder/backend/src/llm.py", line 225, in get_graph_from_llm
    graph_document_list = await get_graph_document_list(
  File "/Users/tiutiutiu/Desktop/llm-graph-builder/backend/src/llm.py", line 208, in get_graph_document_list
    graph_document_list = await llm_transformer.aconvert_to_graph_documents(combined_chunk_document_list)
  File "/Users/tiutiutiu/Desktop/llm-graph-builder/backend/venv/lib/python3.10/site-packages/langchain_experimental/graph_transformers/llm.py", line 1034, in aconvert_to_graph_documents
    results = await asyncio.gather(*tasks)
  File "/Users/tiutiutiu/.pyenv/versions/3.10.16/lib/python3.10/asyncio/tasks.py", line 304, in __wakeup
    future.result()
  File "/Users/tiutiutiu/.pyenv/versions/3.10.16/lib/python3.10/asyncio/tasks.py", line 232, in __step
    result = coro.send(None)
  File "/Users/tiutiutiu/Desktop/llm-graph-builder/backend/venv/lib/python3.10/site-packages/langchain_experimental/graph_transformers/llm.py", line 977, in aprocess_response
    Relationship(
  File "/Users/tiutiutiu/Desktop/llm-graph-builder/backend/venv/lib/python3.10/site-packages/langchain_core/load/serializable.py", line 125, in __init__
    super().__init__(*args, **kwargs)
  File "/Users/tiutiutiu/Desktop/llm-graph-builder/backend/venv/lib/python3.10/site-packages/pydantic/main.py", line 212, in __init__
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
pydantic_core._pydantic_core.ValidationError: 1 validation error for Relationship
type
  Input should be a valid string [type=string_type, input_value={'涉及人物': {'描述...的人物角色有关'}}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.9/v/string_type

[seemakurthy]

Similar issue using locally host Ollama.
[ERROR]{'api_name': 'extract', 'message': 'Failed To Process File:A_Compact_GuideTo_RAG.pdf or LLM Unable To Parse Content ', 'file_created_at': '2025-02-28 09:18:43 ', 'error_message': "Ollama call failed with status code 400. Details: <bound method ClientResponse.text of <ClientResponse(http://localhost:11434/api/chat) [400 Bad Request]>\n<CIMultiDictProxy('Content-Type': 'application/json; charset=utf-8', 'Date': 'Fri, 28 Feb 2025 17:28:28 GMT', 'Content-Length': '29')>\n>", 'file_name': 'A_Compact_GuideTo_RAG.pdf', 'status': 'Failed', 'db_url': 'neo4j://localhost:7687', 'userName': 'neo4j', 'database': 'neo4j', 'failed_count': 1, 'source_typINFO: 127.0.0.1:51052 - "GET /health HTTP/1.1" 200 OK. The graph is created with Chuck nodes and after that it is not able to feed back the LLM for further breaking down.