0

Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications

Telco-RAG is an open-source Retrieval-Augmented Generation framework designed to address challenges in applying LLMs to telecommunications standards documents.

Year
2024
Venue
arXiv 2024
Authors
5
Hosting
Abstract onlyARXIV-DEFAULT

Cite

Notes

Only stored in your browser.

Attribution

Abstract & full text
arxiv.org/abs/2404.15939v3ARXIV-DEFAULT
TL;DR
Semantic Scholar
Attribution policy →

Abstract

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.

Authors

5