Vector DBs are officially dead. PageIndex: Vectorless Reasoning-Based Document Indexing for RAG
PageIndex is an open-source framework designed to replace traditional vector-based retrieval systems with a reasoning-based approach for analyzing complex documents. Instead of relying on mathematical similarity or data chunking, it creates a hierarchical tree index that mimics how a human expert navigates a table of contents. This method allows Large Language Models to perform agentic searches to find relevant information with high precision and clear traceability. By focusing on context-aware retrieval rather than simple text matching, the system achieves superior accuracy on professional benchmarks, such as financial data analysis. Users can implement this vectorless RAG solution through a dedicated chat platform, API integrations, or by self-hosting the Python-based repository.
Github: https://github.com/VectifyAI/PageIndex
Docs: https://docs.pageindex.ai/