About this document

Seven Failure Points When Engineering A Retrieval Augmented Generation System by charliechao1 is a document available to read on EtoBox.

This paper discusses seven failure points that can occur when engineering retrieval augmented generation (RAG) systems. RAG systems combine information retrieval and natural language generation using large language models. Through three case studies, the authors identify lessons learned and challenges in creating robust RAG systems. They conclude that validating RAG systems is only possible after deployment and that the robustness of these systems evolves over time rather than being designed initially.

Author

charliechao1

Language

EN