Open shailesh837 opened 1 month ago
Oscilloscope98
commented
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 :)
aiChatGPT35User123
commented
1 month ago 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=None๐ 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 :