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Introducing Extract v2.5

Blog post from LlamaIndex

Post Details
Company
Date Published
Author
Adrian Lyjak
Word Count
1,845
Company Posts That Month
7
Language
English
Hacker News Points
5
Post removed?
No
Summary

LlamaIndex has introduced Extract v2.5, an update to its schema-based document extraction agents that reports higher accuracy across its Cost Effective, Agentic, and Agentic Plus tiers without changing per-page pricing. On ExtractBench, overall value F1 scores rose to 93.9 for Cost Effective, 95.8 for Agentic, and 96.4 for Agentic Plus, while Agentic and Agentic Plus also gained Advanced Citations capabilities that improve source-grounding scores through supporting bounding boxes. The release uses a new extraction-focused agent harness and structural reasoning to adapt processing effort to document complexity, helping with long lists, records that span pages, and noisy scanned forms containing annotations or handwriting. LlamaIndex also expanded its higher-tier agent tooling to lower-cost tiers, refined support for complex schemas with thousands of fields, and added native spreadsheet extraction that operates directly on workbook cells. The company encourages users to test v2.5 with their own schemas and documents through LlamaCloud, command-line, MCP, and Python SDK integrations.

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MCP 8 10,161 995 219 -4%
LLM 1 5,014 986 210 -17%
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