error pops on local search while embedding

[navinshah]

error pops on local search while embedding, global search works fine.

creating embedding llm client with {'api_key': 'REDACTED,len=32', 'type': "openai_embedding", 'model': 'nomic-embed-text', 'max_tokens': 4000, 'temperature': 0, 'top_p': 1, 'request_timeout': 180.0, 'api_base': 'http://localhost:11434/api', 'api_version': None, 'organization': None, 'proxy': None, 'cognitive_services_endpoint': None, 'deployment_name': None, 'model_supports_json': None, 'tokens_per_minute': 0, 'requests_per_minute': 0, 'max_retries': 10, 'max_retry_wait': 10.0, 'sleep_on_rate_limit_recommendation': True, 'concurrent_requests': 50} Error embedding chunk {'OpenAIEmbedding': "'NoneType' object is not iterable"} Traceback (most recent call last): File "/home/ec2-user/anaconda3/envs/pytorch_p310/lib/python3.10/runpy.py", line 196, in _run_module_as_main return _run_code(code, main_globals, None, File "/home/ec2-user/anaconda3/envs/pytorch_p310/lib/python3.10/runpy.py", line 86, in _run_code exec(code, run_globals) File "/home/ec2-user/SageMaker/DataScienceSharedRepo/Kbot/supplierKbot/graphrag-local-ollama/graphrag/query/main.py", line 76, in run_local_search( File "/home/ec2-user/SageMaker/DataScienceSharedRepo/Kbot/supplierKbot/graphrag-local-ollama/graphrag/query/cli.py", line 154, in run_local_search result = search_engine.search(query=query) File "/home/ec2-user/SageMaker/DataScienceSharedRepo/Kbot/supplierKbot/graphrag-local-ollama/graphrag/query/structured_search/local_search/search.py", line 118, in search context_text, context_records = self.context_builder.build_context( File "/home/ec2-user/SageMaker/DataScienceSharedRepo/Kbot/supplierKbot/graphrag-local-ollama/graphrag/query/structured_search/local_search/mixed_context.py", line 139, in build_context selected_entities = map_query_to_entities( File "/home/ec2-user/SageMaker/DataScienceSharedRepo/Kbot/supplierKbot/graphrag-local-ollama/graphrag/query/context_builder/entity_extraction.py", line 55, in map_query_to_entities search_results = text_embedding_vectorstore.similarity_search_by_text( File "/home/ec2-user/SageMaker/DataScienceSharedRepo/Kbot/supplierKbot/graphrag-local-ollama/graphrag/vector_stores/lancedb.py", line 118, in similarity_search_by_text query_embedding = text_embedder(text) File "/home/ec2-user/SageMaker/DataScienceSharedRepo/Kbot/supplierKbot/graphrag-local-ollama/graphrag/query/context_builder/entity_extraction.py", line 57, in text_embedder=lambda t: text_embedder.embed(t), File "/home/ec2-user/SageMaker/DataScienceSharedRepo/Kbot/supplierKbot/graphrag-local-ollama/graphrag/query/llm/oai/embedding.py", line 96, in embed chunk_embeddings = np.average(chunk_embeddings, axis=0, weights=chunk_lens) File "/home/ec2-user/anaconda3/envs/pytorch_p310/lib/python3.10/site-packages/numpy/lib/function_base.py", line 550, in average raise ZeroDivisionError( ZeroDivisionError: Weights sum to zero, can't be normalized

[jia95812]

我也遇到了类似的问题： creating llm client with {'api_key': 'REDACTED,len=6', 'type': "openai_chat", 'model': 'mistral', 'max_tokens': 4000, 'temperature': 0.0, 'top_p': 1.0, 'request_timeout': 180.0, 'api_base': 'http://localhost:11434/v1', 'api_version': None, 'organization': None, 'proxy': None, 'cognitive_services_endpoint': None, 'deployment_name': None, 'model_supports_json': True, 'tokens_per_minute': 0, 'requests_per_minute': 0, 'max_retries': 10, 'max_retry_wait': 10.0, 'sleep_on_rate_limit_recommendation': True, 'concurrent_requests': 25} creating embedding llm client with {'api_key': 'REDACTED,len=6', 'type': "openai_embedding", 'model': 'nomic-embed-text', 'max_tokens': 4000, 'temperature': 0, 'top_p': 1, 'request_timeout': 180.0, 'api_base': 'http://localhost:11434/api', 'api_version': None, 'organization': None, 'proxy': None, 'cognitive_services_endpoint': None, 'deployment_name': None, 'model_supports_json': None, 'tokens_per_minute': 0, 'requests_per_minute': 0, 'max_retries': 10, 'max_retry_wait': 10.0, 'sleep_on_rate_limit_recommendation': True, 'concurrent_requests': 25} Error embedding chunk {'OpenAIEmbedding': "'NoneType' object is not iterable"} Traceback (most recent call last): File "D:\ProgramData\anaconda3\envs\graphrag-ollama-local\lib\runpy.py", line 196, in _run_module_as_main return _run_code(code, main_globals, None, File "D:\ProgramData\anaconda3\envs\graphrag-ollama-local\lib\runpy.py", line 86, in _run_code exec(code, run_globals) File "E:\graphrag-local-ollama-main\graphrag\query__main__.py", line 76, in run_local_search( File "E:\graphrag-local-ollama-main\graphrag\query\cli.py", line 154, in run_local_search result = search_engine.search(query=query) File "E:\graphrag-local-ollama-main\graphrag\query\structured_search\local_search\search.py", line 118, in search context_text, context_records = self.context_builder.build_context( File "E:\graphrag-local-ollama-main\graphrag\query\structured_search\local_search\mixed_context.py", line 139, in build_context selected_entities = map_query_to_entities( File "E:\graphrag-local-ollama-main\graphrag\query\context_builder\entity_extraction.py", line 55, in map_query_to_entities search_results = text_embedding_vectorstore.similarity_search_by_text( File "E:\graphrag-local-ollama-main\graphrag\vector_stores\lancedb.py", line 118, in similarity_search_by_text query_embedding = text_embedder(text) File "E:\graphrag-local-ollama-main\graphrag\query\context_builder\entity_extraction.py", line 57, in text_embedder=lambda t: text_embedder.embed(t), File "E:\graphrag-local-ollama-main\graphrag\query\llm\oai\embedding.py", line 96, in embed chunk_embeddings = np.average(chunk_embeddings, axis=0, weights=chunk_lens) File "D:\ProgramData\anaconda3\envs\graphrag-ollama-local\lib\site-packages\numpy\lib\function_base.py", line 550, in average raise ZeroDivisionError( ZeroDivisionError: Weights sum to zero, can't be normalized