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README.md
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@@ -36,4 +36,30 @@ Graph-RAG now uses extraction of entities to make connections between documents.
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## Uses
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* Can be used for benchmark RAG, GraphRAG and Embeddings.
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* Can be used for Vector based Clustering methods.
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## Uses
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* Can be used for benchmark RAG, GraphRAG and Embeddings.
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* Can be used for Vector based Clustering methods.
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## Schema
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All files are **new line JSON** files. It could be loaded as **JSONL**
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1. data_file.json -
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*doc_id - Unique ID from embedding files from original dataset. **id === doc_id**
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*data - data from embedding files from original dataset. **body == data**
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1. line_data.json -
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*doc_id - Unique ID
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*line_id - Unique ID
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*line - Splited chunk of line from data.
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1. rows_clusters.json
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*cluster_id - Unique ID denoting cluster.
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*cluster - List of line_id that forms a conceptual cluster.
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*confidence - Score of confidence showing how much these line_id are related.
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1. docs_clusers.json
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*cluster_id - Unique ID denoting cluster
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*cluster - List of doc_id that forms a conceptual cluster.
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*confidence - Score of confidence showing how much these doc_id are related.
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1. doc_graph.json
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*doc_id_1 - Unique ID
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*doc_id_2 - Unique ID
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*confidence - Score of confidence showing how much these two doc_id are related.
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*lines - List of line_id that connects these two doc_id
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