PageIndex: Vectorless Reasoning-Based RAG Framework
Not all improvements come from adding complexity -- sometimes it's about removing it. PageIndex takes a different approach to RAG. Instead of relying on vector databases or artificial chunking, it builds a hierarchical tree structure from documents and uses reasoning-based tree search to locate most relevant sections. This mirrors how humans approach reading: navigating through sections and context rather than matching embeddings. As a result, the retrieval feels transparent, structured, and explainable. It moves RAG away from approximate semantic vibes and towards explicit reasoning about where information lives.
Mar 10, 20264 min read4
