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Researchers at University of Illinois Urbana-Champaign have introduced s3, an open-source framework designed to build retrieval-augmented generation (RAG) systems more efficiently than current methods.
s3 can benefit developers creating real-world large language model (LLM) applications, as it simplifies and reduces the cost of creating retriever models within RAG architectures.
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RAG retrieval
