  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.
