LlamaIndex Extract v2.5
LlamaIndex launched Extract v2.5, a new generation of schema-based document extraction agents with a purpose-built agent harness, structural reasoning and advanced citations — Agentic-tier value F1 up from 89.8 to 95.8 on ExtractBench at no price increase.
Why it matters
Brings coding-agent-style harness engineering (structural reasoning, verification, citations) to document extraction, with the cheap tier now beating the previous premium tier.
What you could build with it
A fintech startup could use Extract v2.5's agentic tier to pull structured fields from thousands of heterogeneous bank statements and loan documents, with advanced citations letting auditors trace every value to its exact bounding box.
Does it hold up?
Too early to judge — launched Oct 1; gains are vendor-reported on LlamaIndex's own ExtractBench and await independent reproduction.
Built with LlamaIndex Extract v2.5
- Unite.AI: LlamaIndex launches Extract v2.5Unite.AI · Tier-by-tier ExtractBench gains and the open benchmark's 4,869-page dataset.
- LlamaIndex Extract REST API docsLlamaIndex docs · Official docs showing v2.5 usage via REST API with version pinning.
Learn more
First spotted on article: source.
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