RAG-based architectures

Recent Research Finds Sixteen Major Problems With RAG Systems, Including Perplexity

A recent study from the US has found that the real-world performance of popular Retrieval Augmented Generation (RAG) research systems corresponding to Perplexity and Bing Copilot falls far wanting each the marketing hype and...

Improving Retrieval Augmented Language Models: Self-Reasoning and Adaptive Augmentation for Conversational Systems

Large language models often struggle with delivering precise and current information, particularly in complex knowledge-based tasks. To beat these hurdles, researchers are investigating methods to boost these models by integrating them with external data...

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