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Recently, I have been working on the CausalRAG proposed by the paper "CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation". In essence, CausalRAG extracts and summarizes causal relationships from knowledge graphs to enhance response generation. Building CausalRAG on top of GraphRAG is therefore a logical and efficient approach. Will the community be interested in adopting CausalRAG as a part of GraphRAG if I implement it? Or is it better to keep them as independent projects? I would like to hear some feedback from the community. Thank you.
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Recently, I have been working on the CausalRAG proposed by the paper "CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation". In essence, CausalRAG extracts and summarizes causal relationships from knowledge graphs to enhance response generation. Building CausalRAG on top of GraphRAG is therefore a logical and efficient approach. Will the community be interested in adopting CausalRAG as a part of GraphRAG if I implement it? Or is it better to keep them as independent projects? I would like to hear some feedback from the community. Thank you.
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