Why Your Rag Assistant Is Giving an Incorrect Answer Even Though It Found the Correct Document

A developer queries an internal AI assistant. The assistant looks up the documentation, finds a relevant troubleshooting document, and provides an answer.

You get an incorrect answer.

This can seem like a problem with retrieval. Maybe the embedding model didn't find the correct document, or the index needs rebuilding.

But when you look at the retrieved documents, the correct document is already there.

This means you're potentially dealing with a reliability issue. The RAG system has found the relevant information, but it isn't giving you a reliable answer. Improving the search alone won't necessarily fix it.

The issue can occur after retrieval, when the application decides which information to trust, what it means, and whether there's enough evidence to answer the question.

You have multiple stages in a RAG system.

A RAG system has several stages.

The application takes in a question, finds relevant information from documents, and passes it...

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