---
title: "Databricks Document Intelligence: pushing the frontier for complex document extraction"
description: "Databricks introduces Precision Mode for its ai_extract document extraction API, targeting enterprise workloads that challenge existing LLM and rules-based systems. The mode addresses long documents with cross-references, large nested outputs such as thousands of line items, and schemas requiring reasoning across financial statements or applying discounts. It combines custom-trained, efficient extraction models with an agent harness that decomposes jobs semantically, runs smaller tasks in parallel, preserves intermediate results, and reconciles them into a final structured output. On benchmarks covering roughly 9,000 documents, including files up to 2,000 pages and schemas with more than 300 deeply nested fields, Precision Mode reached 94.7% accuracy, seven points above the strongest frontier-model chunk-and-merge baseline, GPT-5.6 Sol; the source says it is now available through ai_extract and the Information Extraction UI."
---

# Databricks Document Intelligence: pushing the frontier for complex document extraction

[Databricks](https://yomu.fyi/company/databricks) · Jane Zhang, Arnav Singhvi, Ivan Zhou, Archika Dogra, Matthew Ding, Nihit Desai · Aug 18, 2026

**Type:** Announcement

## Summary

Databricks introduces Precision Mode for its ai\_extract document extraction API, targeting enterprise workloads that challenge existing LLM and rules-based systems. The mode addresses long documents with cross-references, large nested outputs such as thousands of line items, and schemas requiring reasoning across financial statements or applying discounts. It combines custom-trained, efficient extraction models with an agent harness that decomposes jobs semantically, runs smaller tasks in parallel, preserves intermediate results, and reconciles them into a final structured output. On benchmarks covering roughly 9,000 documents, including files up to 2,000 pages and schemas with more than 300 deeply nested fields, Precision Mode reached 94.7% accuracy, seven points above the strongest frontier-model chunk-and-merge baseline, GPT-5.6 Sol; the source says it is now available through ai\_extract and the Information Extraction UI.

## Context

Existing LLM and rules-based document extraction solutions were reported to struggle with cross-references in long documents, very large nested outputs, and complex schemas requiring reasoning across documents or consistent application of logic. The evaluation was designed around difficult customer workloads in these areas.

## Approach / What changed

Precision Mode combines custom-trained, efficient document extraction models with an agent harness inspired by Databricks MemEx. The harness semantically decomposes large extraction jobs, executes smaller tasks in parallel, preserves intermediate results, and reconciles them into a final structured output.

## Takeaways

- The evaluation covered roughly 9,000 documents from 10 internal datasets and five public benchmarks, including documents up to 2,000 pages and schemas with more than 300 deeply nested fields.
- The comparison used a chunk-and-merge baseline with leading GPT, Claude, and Gemini models using default API settings, rather than relying only on a single frontier-model call.
- The source reports frontier-model failure modes including chunk timeouts, truncated outputs, and incomplete final merges that did not conform to the requested schema.

**Tags:** [LLMs](https://yomu.fyi/topic/llm), [Machine Learning](https://yomu.fyi/topic/machine-learning), [Performance](https://yomu.fyi/topic/performance)

- Source: [Databricks](https://www.databricks.com/blog/databricks-document-intelligence-pushing-frontier-complex-document-extraction)
- Source URL: https://www.databricks.com/blog/databricks-document-intelligence-pushing-frontier-complex-document-extraction
- Ingested by Yomu: 2026-08-30T16:51:01.765Z

[Read original post](https://www.databricks.com/blog/databricks-document-intelligence-pushing-frontier-complex-document-extraction)