LlamaIndex Extract V2.6 adds max effort
LlamaIndex introduced Extract V2.6 with a max effort setting for the agentic_plus tier, aimed at improving data extraction from complex documents through additional computation and, when needed, higher-resolution inspection of visual content. The company reported that Value F1 on ExtractBench Pro rose from 77.7 with standard Agentic Plus to 92.9 with max effort, but the gains varied by category and were negative for charts and counting. Billing is variable and may cost more than standard agentic_plus when greater computation produces a material quality improvement.
The update gives enterprises a higher-quality extraction option for costly or difficult documents, while LlamaIndex’s category results show that teams must evaluate quality and variable costs on representative samples before switching.
Today we’re introducing max effort, a new setting for Extract’s agentic_plus tier. It is designed to deliver our highest-quality extraction and reduce the risk of missing or incorrect data on your most critical and complex documents. Max effort uses variable billing based on the computation required.
As part of our onboarding process for many enterprise customers, we conduct a proof of concept where we evaluate various Extract configurations on samples of the datasets they plan to run in production. An important part of this process is figuring out the optimal tier and schema that will meet the needs of their business while staying within budget. In many cases, the cost that matters more than the price of the extraction service is the cost of a missing or incorrect value. Customers ask, “Can we pay more to unlock even higher quality?”
With max effort on agentic_plus , the answer is now yes. We have developed methods that significantly improve extraction on some of the hardest documents. On ExtractBench Pro, Value F1 rose from 77.7 with standard Agentic Plus to 92.9 with max effort. When max effort is set, billing varies according to the complexity of the extraction and the computation required. That additional quality comes with more computation and can cost more than a standard agentic_plus job.
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