Most RAG failures are not model failures. The model did not forget how to read. The prompt is not...
Most RAG failures are not model failures.
The model did not forget how to read. The prompt is not necessarily bad. The embedding model is not always the culprit.
The answer was often lost earlier, in the part of the system nobody demos:
how documents were parsed,
how chunks were created,
Retrieval-augmented generation is the most requested AI feature and the most commonly botched. The...
80% of RAG failures trace back to one decision made before the first vector is ever stored. Most...
The first time my RAG system gave a confidently wrong answer, I did what everyone does: I blamed the...
In the previous post, we built a RAG system from scratch. Sixty lines of Python. Six onboarding...
If your RAG app sometimes answers from the wrong document even though the right one was in your...
Your RAG system did not fail because the model hallucinated. It failed because the only “facts” the...
