Retrieval-augmented generation: considerations for GenAI platform vendors targeting telecoms operators
26 July 2024 | Research
Strategy report | PPTX and PDF (7 slides) | Data, AI and Development Platforms
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
Author
Joseph Attwood
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