Retrieval-augmented generation: considerations for GenAI platform vendors targeting telecoms operators

Using retrieval-augmented generation (RAG) to ground the outputs of large language models (LLMs) is proving to be extremely useful but operators face challenges with implementing and optimising RAG-based applications. GenAI platforms vendors must aim to address these challenges and help operators to accelerate time to value for their RAG use cases.

Information included in this report

• Analysis of the challenges faced by operators when implementing and optimising RAG-based applications
• Insights into how GenAI platform providers can support operators to overcome challenges relating to RAG
• Strategies for GenAI platform providers that want to enhance the value proposition of their platforms for operators developing RAG-based applications