Retrieval-Augmented Generation (RAG) systems have gained strong traction because of their ability to ground generated answers in knowledge sources, boosting their accuracy and reliability. However, evaluating them remains tricky, especially when there's no clear ground truth data to compare against.| Zeta Alpha Vector B.V.
If you only consider the text in your enterprise documents for your Retrieval Augmented Generation (RAG) system, you lose a vast amount...| Zeta Alpha Vector B.V.
Scaling vector search to a billion vectors presents enterprises with a formidable challenge: a high-stakes balancing act impacting...| Zeta Alpha Vector B.V.