BERGEN: A Benchmarking Library for Retrieval-Augmented Generation

[PDF] arxiv.org

Context Embeddings for Efficient Answer Generation in RAG

D Rau, S Wang, H Déjean, S Clinchant - arXiv preprint arXiv:2407.09252, 2024 - arxiv.org
Retrieval-Augmented Generation (RAG) allows overcoming the limited knowledge of LLMs
by extending the input with external information. As a consequence, the contextual inputs to …
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