RAG Does Not Always Need a Vector Database: How PageIndex Lets Models Navigate a Document Tree
Most RAG systems split documents into fixed chunks and use vector similarity to retrieve context. PageIndex uses a hierarchical document tree and LLM reasoning instead. This article explains its architecture, quickstart, costs, and limits, and shows why it is not a universal replacement for vector databases.