LlamaIndex's Extract v2.5 agents reason over tables spanning multiple pages

LlamaIndex introduced Extract v2.5, a set of document extraction agents that can reconstruct records split across pages and assemble them with thousands of other cells into structured tabular output.

The post says the agents handle real-world documents like insurance claims, regulatory filings, and legal schedules, where a record may start on one page and finish on the next.

The accompanying background post claims record-spanning-page accuracy rose from 85.5% to 96.5%, and that the agentic tier outperforms Opus 5.5 and GPT-6 Sol at 30% to 4x lower cost.