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For many of the documents, the graphrag prompts are not appropriate often returning 0 nodes which then causes the whole pipeline to error.
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):
workflow.py", line 410, in _execute_verb
result = node.verb.func(**verb_args)
I understand that the GraphRAG as configured is performing four prompts: claim_extraction.txt, community_reports.txt, entity_extraction.txt and summarize_descriptions.txt
Where are those created / executed from and can they be reduced to match the input document(s) e.g community_reports and claims are not relevant if the documents are blog posts.
or is this nothing to do with koteamon and in the ms graphrag code/config?
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For many of the documents, the graphrag prompts are not appropriate often returning 0 nodes which then causes the whole pipeline to error.
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):
workflow.py", line 410, in _execute_verb
result = node.verb.func(**verb_args)
I understand that the GraphRAG as configured is performing four prompts: claim_extraction.txt, community_reports.txt, entity_extraction.txt and summarize_descriptions.txt
Where are those created / executed from and can they be reduced to match the input document(s) e.g community_reports and claims are not relevant if the documents are blog posts.
or is this nothing to do with koteamon and in the ms graphrag code/config?
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