Balancing Accuracy and Speed in RAG Systems: Insights into Optimized Retrieval Techniques

In recent times, Retrieval-augmented generation (RAG) has become popular due to its ability to solve challenges using Large Language Models, such as hallucinations and outdated training data. A RAG pipeline consists of two components: a retriever and a reader. The retriever component finds useful information from an exterior knowledge base, which is then included alongside […]

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