New feature
Databricks Document Intelligence
Databricks Document Intelligence is a Databricks ai / ml capability, introduced April 2026.
Databricks' umbrella name for its intelligent document processing stack - a set of research-built AI Functions (ai_parse_document, ai_extract, ai_classify, and ai_prep_search in Beta) that parse, extract, and classify PDFs, images, Word files, and slides at scale in SQL, through REST APIs, or in the no-code Agent Bricks UI.
- It was born out of a benchmark embarrassment - Databricks found that even highly capable frontier agents scored below 50% accuracy on real enterprise document tasks, and concluded the bottleneck was reading, not reasoning.
- Swapping nothing but the document layer helps - pre-processing treasury bond documents with ai_parse_document gave a 16% average gain across every agent framework Databricks tested, with the agents themselves left untouched.
- Its hardest-mode extractor manages a team - ai_extract Precision Mode reasons in stages, spawns subagents to extract in parallel, and merges their results into one output.
Limitations: Its parsing step, ai_parse_document, is limited to documents of at most 500 pages and 100 MB - a longer document fails immediately unless you pass a page range that stays within the limit.
Open in REbricked →- Category
- AI / ML
- Also known as
- Document Intelligence, Intelligent document processing, IDP
- Verified
- 2026-09-27
Sources
- Official Official Databricks / Microsoft docs
- Official Databricks product page: Document Intelligence
- Official Databricks docs: Intelligent document processing (where the docs file it)
- Community Databricks blog: Introducing Document Intelligence on Databricks (April 2026)
- Community Databricks blog: PDFs to Production, the ai_parse_document launch (November 2025)
- Community Databricks blog: Precision Mode in AI Extract (August 2026)