LlamaIndex explains confidence scores for document extraction decisions
Threshold selection, not the raw score, determines how much extraction work a pipeline can safely automate at a given precision target. Teams building document-processing agents can use the precision-recall trade-off framing to set human review volume. ExtractBench numbers offer a concrete way to compare LlamaParse Agentic Plus against other extraction systems before committing to one.
Jerry Liu shared a LlamaIndex blog post examining how confidence scores should be used to decide what to automate in document extraction.
The post covers confidence cutoffs, precision versus recall, score coverage, score granularity and human review volume.
Using ExtractBench, it compares extraction systems after confidence filtering.At a 97% precision target, LlamaParse Agentic Plus reached 66.
48% recall on expected fields after filtering.
predicting model uncertainty is a hard problem. perfectly "calibrated" confidence scores are exact probability values on whether the output is correct. this is extremely important for agentic decision making, including document extraction. i made a sick video below showing how confidence scores can be used to choose decision thresholds and vary precision / recall. if you set a really high threshold, then you automate less, but more of the automated extraction is correct. if you set a low threshold, then you automate more, but there's more errors in the extraction. check out our blog! llamaindex.ai/blog/what-make…
This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include LlamaIndex, LlamaParse, ExtractBench, RAG.
Source attribution: curated from Jerry Liu (@jerryjliu0). Cross-source corroboration: 2 independent sources have covered this development (including LlamaIndex), confirming industry-wide signal strength.
- LlamaIndex09-24 18:41Source
