Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications
Abstract
Telco-RAG is an open-source Retrieval-Augmented Generation framework designed to address challenges in applying LLMs to telecommunications standards documents.
The application of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems in the telecommunication ___domain presents unique challenges, primarily due to the complex nature of telecom standard documents and the rapid evolution of the field. The paper introduces Telco-RAG, an open-source RAG framework designed to handle the specific needs of telecommunications standards, particularly 3rd Generation Partnership Project (3GPP) documents. Telco-RAG addresses the critical challenges of implementing a RAG pipeline on highly technical content, paving the way for applying LLMs in telecommunications and offering guidelines for RAG implementation in other technical domains.
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