I Stopped Using Vector Databases for RAG. Here’s What Replaced It.

PageIndex by Vectify AI just changed how I think about document retrieval - and the numbers back it up. There’s a moment every developer building a RAG pipeline hits. You’ve got your vector database set up. Embeddings are generated. Chunks are d. You ask a perfectly reasonable question - “What was the net revenue in Q3?” - and the model spits back something from a completely different section of the document. Or worse, it confidently makes something up. You fiddle with chunk sizes. You try different embedding models. You add re-ranking. You tune similarity thresholds.