Abstract
Proposed herein is an enhanced retrieval augmented generation (E-RAG) architecture for use with network automation applications. The enhanced RAG architecture aims to increase RAG performance by reducing the hallucinations of a Large Language Model (LLM) and by decreasing the context length of messages sent to the LLM.
Creative Commons License
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Recommended Citation
Gowrish, Koushik Padavalli; Chakraborty, Supratim; Kaki, Somaraju; Chitta, Nithin; and Kalyanakrishnan, Mahesh Chittur, "EFFICIENT NETWORK AUTOMATION THROUGH ENHANCED RETRIEVAL AUGEMENTED GENERATION (RAG) ARCHITECTURE", Technical Disclosure Commons, (August 16, 2024)
https://www.tdcommons.org/dpubs_series/7284