From b35045b468deec8f13de4d36d9ff72ce15be8760 Mon Sep 17 00:00:00 2001 From: Zachary Date: Sat, 20 Jul 2024 13:09:40 +0200 Subject: [PATCH] dz --- README.md | 31 +- .../artifacts/clustered_graph.graphml | 1594 +++++++++++++++++ .../artifacts/create_base_documents.parquet | Bin 0 -> 34357 bytes .../create_base_entity_graph.parquet | Bin 0 -> 314615 bytes .../create_base_extracted_entities.parquet | Bin 0 -> 11983 bytes .../artifacts/create_base_text_units.parquet | Bin 0 -> 34873 bytes .../create_final_communities.parquet | Bin 0 -> 6782 bytes .../create_final_community_reports.parquet | Bin 0 -> 70326 bytes .../artifacts/create_final_documents.parquet | Bin 0 -> 34392 bytes .../artifacts/create_final_entities.parquet | Bin 0 -> 3076104 bytes .../artifacts/create_final_nodes.parquet | Bin 0 -> 330960 bytes .../create_final_relationships.parquet | Bin 0 -> 13262 bytes .../artifacts/create_final_text_units.parquet | Bin 0 -> 42442 bytes .../create_summarized_entities.parquet | Bin 0 -> 12041 bytes .../artifacts/embedded_graph.graphml | 965 ++++++++++ .../join_text_units_to_entity_ids.parquet | Bin 0 -> 8672 bytes ...oin_text_units_to_relationship_ids.parquet | Bin 0 -> 4535 bytes .../artifacts/merged_graph.graphml | 970 ++++++++++ .../20240720-130430/artifacts/stats.json | 143 ++ .../artifacts/summarized_graph.graphml | 965 ++++++++++ .../artifacts/top_level_nodes.json | 142 ++ .../output/20240720-130430/reports/logs.json | 0 22 files changed, 4794 insertions(+), 16 deletions(-) create mode 100644 graphfleet/output/20240720-130430/artifacts/clustered_graph.graphml create mode 100644 graphfleet/output/20240720-130430/artifacts/create_base_documents.parquet create mode 100644 graphfleet/output/20240720-130430/artifacts/create_base_entity_graph.parquet create mode 100644 graphfleet/output/20240720-130430/artifacts/create_base_extracted_entities.parquet create mode 100644 graphfleet/output/20240720-130430/artifacts/create_base_text_units.parquet create mode 100644 graphfleet/output/20240720-130430/artifacts/create_final_communities.parquet create mode 100644 graphfleet/output/20240720-130430/artifacts/create_final_community_reports.parquet create mode 100644 graphfleet/output/20240720-130430/artifacts/create_final_documents.parquet create mode 100644 graphfleet/output/20240720-130430/artifacts/create_final_entities.parquet create mode 100644 graphfleet/output/20240720-130430/artifacts/create_final_nodes.parquet create mode 100644 graphfleet/output/20240720-130430/artifacts/create_final_relationships.parquet create mode 100644 graphfleet/output/20240720-130430/artifacts/create_final_text_units.parquet create mode 100644 graphfleet/output/20240720-130430/artifacts/create_summarized_entities.parquet create mode 100644 graphfleet/output/20240720-130430/artifacts/embedded_graph.graphml create mode 100644 graphfleet/output/20240720-130430/artifacts/join_text_units_to_entity_ids.parquet create mode 100644 graphfleet/output/20240720-130430/artifacts/join_text_units_to_relationship_ids.parquet create mode 100644 graphfleet/output/20240720-130430/artifacts/merged_graph.graphml create mode 100644 graphfleet/output/20240720-130430/artifacts/stats.json create mode 100644 graphfleet/output/20240720-130430/artifacts/summarized_graph.graphml create mode 100644 graphfleet/output/20240720-130430/artifacts/top_level_nodes.json create mode 100644 graphfleet/output/20240720-130430/reports/logs.json diff --git a/README.md b/README.md index 0074d5cf9..a727be1cb 100644 --- a/README.md +++ b/README.md @@ -45,21 +45,26 @@ cd GraphFleet 2. Install dependencies using Poetry: + ``` -poetry install +poetry shell ``` + ``` -poetry shell +poetry install ``` ### Usage 1. Setting up your settings: + ``` cd graphfleet ``` + - Set up the necessary environment variables in the `.env.example` file and change the name to .env. -The required ones being : +The required ones being : + ``` # Base LLM Settings GRAPHRAG_API_KEY="your_api_key" @@ -84,10 +89,7 @@ GRAPHRAG_INPUT_TYPE="text" 2. Run the indexing process: -``` -poetry run poe cli --config /graphfleet/settings.yaml -``` -Or you might prefer using + ``` python -m graphrag.index --root ./graphfleet ``` @@ -95,16 +97,13 @@ python -m graphrag.index --root ./graphfleet 3. Perform queries in local mode or global mode depending on your usecase learn more in the [GraphRAG documentation](https://microsoft.github.io/graphrag/posts/query/overview/): For local query mode : + ``` -python -m graphrag.query \ ---root ./graphfleet \ ---method local \ -"What are the key features of GraphRAG ??" +python -m graphrag.query --root ./graphfleet --method local "What are the key features of GraphRAG ??" ``` -For Global query mode : + +For Global query mode : + ``` -python -m graphrag.query \ ---root ./graphfleet \ ---method global \ -"What are the top main features of GraphRAG" +python -m graphrag.query --root ./graphfleet --method global "What are the top main features of GraphRAG" ``` diff --git a/graphfleet/output/20240720-130430/artifacts/clustered_graph.graphml b/graphfleet/output/20240720-130430/artifacts/clustered_graph.graphml new file mode 100644 index 000000000..af8aa7874 --- /dev/null +++ b/graphfleet/output/20240720-130430/artifacts/clustered_graph.graphml @@ -0,0 +1,1594 @@ + + + + + + + + + + + + + + + + + + "PERSON" + "Darren Edge is one of the authors of the paper and a contributor to the research on Graph RAG approach to query-focused summarization." + 76f53fb8722af58423d32a9f95018b18 + 2 + 0 + 2 + 0 + b45241d70f0e43fca764df95b2b81f77 + + + "PERSON" + "Ha Trinh is one of the authors of the paper and a contributor to the research on Graph RAG approach to query-focused summarization." + 76f53fb8722af58423d32a9f95018b18 + 2 + 0 + 2 + 1 + 4119fd06010c494caa07f439b333f4c5 + + + "PERSON" + "Newman Cheng is one of the authors of the paper and a contributor to the research on Graph RAG approach to query-focused summarization." + 76f53fb8722af58423d32a9f95018b18 + 1 + 0 + 2 + 2 + d3835bf3dda84ead99deadbeac5d0d7d + + + "PERSON" + "Joshua Bradley is one of the authors of the paper and a contributor to the research on Graph RAG approach to query-focused summarization." + 76f53fb8722af58423d32a9f95018b18 + 1 + 0 + 2 + 3 + 077d2820ae1845bcbb1803379a3d1eae + + + "PERSON" + "Alex Chao is one of the authors of the paper and a contributor to the research on Graph RAG approach to query-focused summarization." + 76f53fb8722af58423d32a9f95018b18 + 0 + 0 + 2 + 4 + 3671ea0dd4e84c1a9b02c5ab2c8f4bac + + + "PERSON" + "Apurva Mody is one of the authors of the paper and a contributor to the research on Graph RAG approach to query-focused summarization." + 76f53fb8722af58423d32a9f95018b18 + 0 + 0 + 2 + 5 + 19a7f254a5d64566ab5cc15472df02de + + + "PERSON" + "Steven Truitt is one of the authors of the paper and a contributor to the research on Graph RAG approach to query-focused summarization." + 76f53fb8722af58423d32a9f95018b18 + 1 + 0 + 2 + 6 + e7ffaee9d31d4d3c96e04f911d0a8f9e + + + "PERSON" + "Jonathan Larson is one of the authors of the paper and a contributor to the research on Graph RAG approach to query-focused summarization." + 76f53fb8722af58423d32a9f95018b18 + 2 + 0 + 2 + 7 + f7e11b0e297a44a896dc67928368f600 + + + "ORGANIZATION" + "Microsoft Research is one of the organizations involved in the research and development of the Graph RAG approach." + 76f53fb8722af58423d32a9f95018b18 + 2 + 0 + 4 + 8 + 1fd3fa8bb5a2408790042ab9573779ee + + + "ORGANIZATION" + "Microsoft Strategic Missions and Technologies is one of the organizations involved in the research and development of the Graph RAG approach." + 76f53fb8722af58423d32a9f95018b18 + 1 + 0 + 4 + 9 + 27f9fbe6ad8c4a8b9acee0d3596ed57c + + + "ORGANIZATION" + "Microsoft Office of the CTO is one of the organizations involved in the research and development of the Graph RAG approach." + 76f53fb8722af58423d32a9f95018b18 + 0 + 0 + 3 + 10 + e1fd0e904a53409aada44442f23a51cb + + + "EVENT" + Graph RAG is an approach proposed in a paper for query-focused summarization over private text corpora using a graph-based text index. 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Missions and Technologies is one of the organizations involved in the research and development of the Graph RAG approach." + 76f53fb8722af58423d32a9f95018b18 + cbf232211e7d4eb6abdbe182f71c2cf0 + 17 + 0 + + + 1.0 + "Microsoft Office of the CTO is one of the organizations involved in the research and development of the Graph RAG approach." + 76f53fb8722af58423d32a9f95018b18 + bb0cff774a4440b289cc6f3b929fe13c + 18 + 0 + + + 1.0 + "Graph RAG outperforms Naïve RAG in terms of comprehensiveness and diversity across datasets." + 77f9589bc5acd4c518314fae6c3769c8 + ce55841ebfdd47008bab8c258f10372e + 19 + 0 + + + 1.0 + "Graph RAG uses the Podcast Dataset to evaluate its performance in providing comprehensive and diverse answers." + 77f9589bc5acd4c518314fae6c3769c8 + 6090e736374d45fd84f0e4610a314f8f + 20 + 0 + + + 1.0 + "Graph RAG uses the News Dataset to evaluate its performance in providing comprehensive and diverse answers." + 77f9589bc5acd4c518314fae6c3769c8 + 0e8d921ccd8d4a8594b65b7fd19f7120 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using the Neo4J graph database format." + 27f5bd73115aa334eae2c121c53f8a45 + 14555b518e954637b83aa762dc03164e + 27 + 0 + + + 1.0 + "Graph RAG's approach can be implemented using the NebulaGraph database format." + 27f5bd73115aa334eae2c121c53f8a45 + b1f6164116d44fe8b8f135d7f65b9e58 + 28 + 0 + + + 1.0 + "Graph RAG's evaluation approach could be improved by comparing fabrication rates using SelfCheckGPT's methods." + 27f5bd73115aa334eae2c121c53f8a45 + c8b2408617804483b620e1a6691ac90d + 29 + 0 + + + 1.0 + "MultiHop-RAG dataset was created by Tang and Yang, 2024." + 4a924a483e795e5e40dbdb018113c06e + a5e0d1644eb547ba9a5c3211aac4631a + 30 + 0 + + + 1.0 + "OpenORD algorithm was developed by Martin et al., 2011 for node layout in graph visualizations." + 4a924a483e795e5e40dbdb018113c06e + 5a28b94bc63b44edb30c54748fd14f15 + 31 + 0 + + + 1.0 + "Force Atlas 2 algorithm was developed by Jacomy et al., 2014 for node layout in graph visualizations." + 4a924a483e795e5e40dbdb018113c06e + f97011b2a99d44648e18d517e1eae15c + 32 + 0 + + + 1.0 + "Kevin Scott is the CTO of Microsoft." + 4a924a483e795e5e40dbdb018113c06e + 35489ca6a63b47d6a8913cf333818bc1 + 33 + 0 + + + 1.0 + "Behind the Tech is a podcast series featuring conversations with Kevin Scott." + 4a924a483e795e5e40dbdb018113c06e + 5d3344f45e654d2c808481672f2f08dd + 34 + 0 + + + 1.0 + "Scott, 2024 refers to Kevin Scott, who is associated with the Behind the Tech podcast." + 4a924a483e795e5e40dbdb018113c06e + 6fb57f83baec45c9b30490ee991f433f + 35 + 0 + + + 1.0 + "HotPotQA dataset was created by Yang et al., 2018." + 4a924a483e795e5e40dbdb018113c06e + 68762e6f0d1c41cd857c6b964a8e76c3 + 36 + 0 + + + 1.0 + "MT-Bench dataset was created by Zheng et al., 2024." + 4a924a483e795e5e40dbdb018113c06e + 70634e10a5e845aa8c6a32fe7e8eb2b2 + 37 + 0 + + + 1.0 + "Koesten et al., 2021 discussed the process of data sensemaking." + 4a924a483e795e5e40dbdb018113c06e + 04085f7cf46544b79597fc49286ff84d + 38 + 0 + + + 1.0 + "Xu and Lapata, 2021 worked on methods for extracting latent summarization queries from source texts." + 4a924a483e795e5e40dbdb018113c06e + d203efdbfb2f4b2a899abfb31cf72e82 + 39 + 0 + + + 1.0 + "Wang et al., 2023a discussed the evaluation of natural language generation using LLMs." + 4a924a483e795e5e40dbdb018113c06e + 6731a665561840c2898ce8c9788e4c88 + 40 + 0 + + + 1.0 + "Es et al., 2023 worked on evaluating the performance of RAG systems." + 4a924a483e795e5e40dbdb018113c06e + 4026806fa92f4e849a59a7f5c9a45c79 + 41 + 0 + + + 1.0 + "Naïve RAG uses the Podcast Dataset to evaluate its performance in providing direct answers." + 77f9589bc5acd4c518314fae6c3769c8 + 68e0c60d2e8845d89d9d0ad397833648 + 42 + 0 + + + 1.0 + "Naïve RAG uses the News Dataset to evaluate its performance in providing direct answers." + 77f9589bc5acd4c518314fae6c3769c8 + 101572f552b54e529fe7765c05168981 + 43 + 0 + + + 1.0 + "Naïve RAG produces the most direct responses across all comparisons." + 77f9589bc5acd4c518314fae6c3769c8 + 60c58026b2764b40adffca6eaa31d6d9 + 44 + 0 + + + 1.0 + "LangChain supports the Neo4J graph database format for creating and reasoning over knowledge graphs." + 27f5bd73115aa334eae2c121c53f8a45 + ad1595a78935472999444c9330e7730e + 45 + 0 + + + 1.0 + "LangChain supports the NebulaGraph database format for creating and reasoning over knowledge graphs." + 27f5bd73115aa334eae2c121c53f8a45 + 735d19aea0744b2295556841c5c4c3fd + 46 + 0 + + + 1.0 + "LlamaIndex supports the Neo4J graph database format for creating and reasoning over knowledge graphs." + 27f5bd73115aa334eae2c121c53f8a45 + c725babdb14a485582f8fbdf95429030 + 47 + 0 + + + 1.0 + "LlamaIndex supports the NebulaGraph database format for creating and reasoning over knowledge graphs." + 27f5bd73115aa334eae2c121c53f8a45 + a0047221896d418d849847d422fa4bb8 + 48 + 0 + + + \ No newline at end of file diff --git a/graphfleet/output/20240720-130430/artifacts/create_base_documents.parquet 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