OpenAI vs Claude on a RAG App: What Failed and What to Fix First
We put two of the most talked-about models head-to-head in a real-world RAG scenario, and the results might surprise you.
When large language models are deployed in retrieval-augmented generation (RAG) systems, reliability depends on more than just generating fluent answers. In his latest article, Testlio’s Hemraj Bedassee examines how OpenAI and Claude perform in a real-world, document-grounded RAG application. You’ll see how the evaluation was structured, how each model handled different prompt types and file formats, and where issues surfaced most often. You’ll also get practical recommendations for making RAG outputs more verifiable and trustworthy.