Simple ideas to improve your RAG (Stanford, Google)

Google Research and the latest research from Stanford Univ show the way forward to improve our RAG systems significantly.

The narrative delves into an advanced exploration where graph neural networks (GNNs) are employed to scrutinize the efficacy of retrieval-augmented generation (RAG) systems, specifically targeting the retrieval of text passages for complex question answering. The investigation uncovers a critical shortfall within the RAG framework: the GNN analysis reveals that the retrieved scientific text passages lack relevance to the queries posed, thereby …

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