Open shailesh837 opened 1 month ago
Hi @shailesh837,
Have you added the request_timeout
configuration to ragtest/settings.yml
as we mentioned in GraphRAG quickstart?
If not, would you mind adding this configuration, conduct the graph indexing based on the updated settings.yml
, and try on the query again?
Please let us know for any further questions :)
hello, I am trying to replicate GraphRAG Demo on Intel Arc GPU 770, But getting below issue :
I am facing issue wit mistral :
12:33:38,271 httpx INFO HTTP Request: POST http://localhost:11434/v1/chat/completions "HTTP/1.1 200 OK" 12:33:38,272 graphrag.llm.base.rate_limiting_llm INFO perf - llm.chat "Process" with 6 retries took 16.932000000029802. input_tokens=2152, output_tokens=693 12:33:53,74 httpx INFO HTTP Request: POST http://localhost:11434/v1/chat/completions "HTTP/1.1 200 OK" 12:33:53,75 graphrag.llm.base.rate_limiting_llm INFO perf - llm.chat "Process" with 6 retries took 31.74200000008568. input_tokens=2059, output_tokens=547 12:35:07,794 httpx INFO HTTP Request: POST http://localhost:11434/v1/chat/completions "HTTP/1.1 200 OK" 12:35:07,796 graphrag.llm.base.rate_limiting_llm INFO perf - llm.chat "Process" with 6 retries took 106.37199999997392. input_tokens=2234, output_tokens=2984 12:35:07,804 datashaper.workflow.workflow INFO executing verb snapshot 12:35:07,808 datashaper.workflow.workflow INFO executing verb merge_graphs 12:35:07,813 datashaper.workflow.workflow INFO executing verb snapshot_rows 12:35:07,815 graphrag.index.emit.parquet_table_emitter INFO emitting parquet table create_base_extracted_entities.parquet 12:35:07,897 graphrag.index.run INFO Running workflow: create_summarized_entities... 12:35:07,897 graphrag.index.run INFO dependencies for create_summarized_entities: ['create_base_extracted_entities'] 12:35:07,897 graphrag.index.run INFO read table from storage: create_base_extracted_entities.parquet 12:35:07,906 datashaper.workflow.workflow INFO executing verb summarize_descriptions 12:35:07,911 datashaper.workflow.workflow INFO executing verb snapshot_rows 12:35:07,912 graphrag.index.emit.parquet_table_emitter INFO emitting parquet table create_summarized_entities.parquet 12:35:07,994 graphrag.index.run INFO Running workflow: create_base_entity_graph... 12:35:07,994 graphrag.index.run INFO dependencies for create_base_entity_graph: ['create_summarized_entities'] 12:35:07,994 graphrag.index.run INFO read table from storage: create_summarized_entities.parquet 12:35:08,5 datashaper.workflow.workflow INFO executing verb cluster_graph 12:35:08,5 graphrag.index.verbs.graph.clustering.cluster_graph WARNING Graph has no nodes 12:35:08,6 datashaper.workflow.workflow ERROR Error executing verb "cluster_graph" in create_base_entity_graph: Columns must be same length as key Traceback (most recent call last): File "/home/spandey2/miniconda3/envs/graphrag-local-ollama/lib/python3.10/site-packages/datashaper/workflow/workflow.py", line 410, in _execute_verb result = node.verb.func(**verb_args) File "/home/spandey2/LLM_KG_RAG/graphrag-local-ollama/graphrag/index/verbs/graph/clustering/cluster_graph.py", line 102, in cluster_graph output_df[[level_to, to]] = pd.DataFrame( File "/home/spandey2/miniconda3/envs/graphrag-local-ollama/lib/python3.10/site-packages/pandas/core/frame.py", line 4299, in __setitem__ self._setitem_array(key, value) File "/home/spandey2/miniconda3/envs/graphrag-local-ollama/lib/python3.10/site-packages/pandas/core/frame.py", line 4341, in _setitem_array check_key_length(self.columns, key, value) File "/home/spandey2/miniconda3/envs/graphrag-local-ollama/lib/python3.10/site-packages/pandas/core/indexers/utils.py", line 390, in check_key_length raise ValueError("Columns must be same length as key") ValueError: Columns must be same length as key 12:35:08,7 graphrag.index.reporting.file_workflow_callbacks INFO Error executing verb "cluster_graph" in create_base_entity_graph: Columns must be same length as key details=None 12:35:08,7 graphrag.index.run ERROR error running workflow create_base_entity_graph Traceback (most recent call last): File "/home/spandey2/LLM_KG_RAG/graphrag-local-ollama/graphrag/index/run.py", line 323, in run_pipeline result = await workflow.run(context, callbacks) File "/home/spandey2/miniconda3/envs/graphrag-local-ollama/lib/python3.10/site-packages/datashaper/workflow/workflow.py", line 369, in run timing = await self._execute_verb(node, context, callbacks) File "/home/spandey2/miniconda3/envs/graphrag-local-ollama/lib/python3.10/site-packages/datashaper/workflow/workflow.py", line 410, in _execute_verb result = node.verb.func(**verb_args) File "/home/spandey2/LLM_KG_RAG/graphrag-local-ollama/graphrag/index/verbs/graph/clustering/cluster_graph.py", line 102, in cluster_graph output_df[[level_to, to]] = pd.DataFrame( File "/home/spandey2/miniconda3/envs/graphrag-local-ollama/lib/python3.10/site-packages/pandas/core/frame.py", line 4299, in __setitem__ self._setitem_array(key, value) File "/home/spandey2/miniconda3/envs/graphrag-local-ollama/lib/python3.10/site-packages/pandas/core/frame.py", line 4341, in _setitem_array check_key_length(self.columns, key, value) File "/home/spandey2/miniconda3/envs/graphrag-local-ollama/lib/python3.10/site-packages/pandas/core/indexers/utils.py", line 390, in check_key_length raise ValueError("Columns must be same length as key") ValueError: Columns must be same length as key 12:35:08,7 graphrag.index.reporting.file_workflow_callbacks INFO Error running pipeline! details=None
๐ create_base_documents id text_units raw_content title 0 8af33f74cd8e0e4b0384f5bf5396d993 [7b4e128a12389cacb693c4d1cf7a7965, efd8fda36bf... Introduction to Graph Neural Networks\nGraph N... GNN_intro.txt 1 a15d1b96e67359498242ba415f8aa326 [e65eea82cd46a8251e3ecf779e46cb6e, ee0c1bc3dce... Introduction to Transformer Neural Networks\nT... Transformers_intro.txt 2 66ed8cbe18ccd47bbaef69aa492f2337 [72ee0a4be0a9109cffbb8d94f4253493, 4a25dab6bbc... Introduction to Machine Learning\nMachine lear... machinelearning_intro.txt 3 f5af7825fb7ca37fb6a81f68f4a9a45f [e2083317ca3a8f0690bde0981dd98ea3, bc5189e2787... Introduction to Convolutional Neural Networks\... CNN_intro.txt ๐ create_final_documents id text_unit_ids raw_content title 0 8af33f74cd8e0e4b0384f5bf5396d993 [7b4e128a12389cacb693c4d1cf7a7965, efd8fda36bf... Introduction to Graph Neural Networks\nGraph N... GNN_intro.txt 1 a15d1b96e67359498242ba415f8aa326 [e65eea82cd46a8251e3ecf779e46cb6e, ee0c1bc3dce... Introduction to Transformer Neural Networks\nT... Transformers_intro.txt 2 66ed8cbe18ccd47bbaef69aa492f2337 [72ee0a4be0a9109cffbb8d94f4253493, 4a25dab6bbc... Introduction to Machine Learning\nMachine lear... machinelearning_intro.txt 3 f5af7825fb7ca37fb6a81f68f4a9a45f [e2083317ca3a8f0690bde0981dd98ea3, bc5189e2787... Introduction to Convolutional Neural Networks\... CNN_intro.txt โ ด GraphRAG Indexer โโโ Loading Input (text) - 4 files loaded (0 filtered) โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ 100% 0:00:00 0:00:00 โโโ create_base_text_units โโโ create_base_extracted_entities โโโ create_summarized_entities โโโ create_base_entity_graph โโโ create_final_entities โโโ create_final_nodes โโโ create_final_communities โโโ join_text_units_to_entity_ids โโโ create_final_relationships โโโ join_text_units_to_relationship_ids โโโ create_final_community_reports โโโ create_final_text_units โโโ create_base_documents โโโ create_final_documents ๐ All workflows completed successfully.
INFO: Reading settings from ragtest/settings.yaml creating llm client with {'api_key': 'REDACTED,len=9', 'type': "openai_chat", 'model': 'llama2', '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} Error parsing search response json Traceback (most recent call last): File "/home/spandey2/LLM_KG_RAG/graphrag-local-ollama/graphrag/query/structured_search/global_search/search.py", line 194, in _map_response_single_batch processed_response = self.parse_search_response(search_response) File "/home/spandey2/LLM_KG_RAG/graphrag-local-ollama/graphrag/query/structured_search/global_search/search.py", line 232, in parse_search_response parsed_elements = json.loads(search_response)["points"] File "/home/spandey2/miniconda3/envs/graphrag-local-ollama/lib/python3.10/json/__init__.py", line 346, in loads return _default_decoder.decode(s) File "/home/spandey2/miniconda3/envs/graphrag-local-ollama/lib/python3.10/json/decoder.py", line 337, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) File "/home/spandey2/miniconda3/envs/graphrag-local-ollama/lib/python3.10/json/decoder.py", line 355, in raw_decode raise JSONDecodeError("Expecting value", s, err.value) from None json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) SUCCESS: Global Search Response: I am sorry but I am unable to answer this question given the provided data.
ไฝ ๅฅฝ๏ผ่ฟไธช้ฎ้ขไฝ ่งฃๅณไบๅ
hello, I am trying to replicate GraphRAG Demo on Intel Arc GPU 770, But getting below issue :
I am facing issue wit mistral :