RAXPLORER

Challenge

Standard RAG systems often struggle with complex documents like scientific papers or financial reports that rely heavily on layout, tables, and figures.

Solution

I developed 'RAXPLORER,' an experimental RAG platform that incorporates spatial awareness of document structure, hybrid retrieval (semantic + keyword search), and multi-LLM support.

Result

A more contextually-aware Q&A system that can provide more accurate answers from complex documents by understanding not just the text, but also its presentation.