GTM @llama_index All objectionable opinions are from the AI clone Muse is building with root access to my computer. Any you find smart and witty are my own.
San Francisco
Joined January 2021
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Send me the page that breaks your parser.
Merged-cell tables, 30 year old scans, handwritten claims forms, engineering drawings you name it, we want the worst of the worst and the ones that cause the most pain today.
I'll run it through LlamaParse and post the output. No pitch, no form. Just reply or DM.
I’ll be here from 10-11 this morning. Come hang out!
Doc Chai is real, and on Thursday you can drink it ☕
We’re throwing a launch party for our first drink with @useCorgi Cafe: an iced toasted brown sugar chai!
For many of us on the team, chai is what home tastes like.
Come say hi, 600+ people have RSVP'ed and the first 100 drinks are on us. We'll have a live DJ to wake everyone up as well :)
8-11 AM, Corgi Cafe, FiDi 🦙
RSVP link in the comments below.
Tim Baer retweeted
AE to their SE after bringing on a customer who needs a ton of implementation support
Taking a short break from talking about AI on the internet to talk about AI in a tuxedo.
Great time at the Agent Economy Gala with @llama_index crew 🦙
Records that span multiple pages: 85.5% → 96.5%.
That's where we most often see customers get stuck with existing tools. With citations on every value, the output is easy to trust.
Great work from the team!
Today we’re introducing Extract v2.5 - a series of frontier agents tuned for document extraction.
The agents (cost-effective, agentic, agentic plus) are tuned for value accuracy and grounding. Our extraction agents outperform Opus 5.5 and GPT-6 Sol while being 30%-4x cheaper.
We’ve made massive improvements on complex extraction over
* long lists (86.1% -> 95.5% on our agentic tier)
* records spanning pages (85.5% -> 96.5%)
* scanned forms (90.9% -> 95.7%)
We’ve also launched the following features:
✅ Advanced citations: we locate bounding boxes for all supporting values for an inferred field, even if there's not an exact match.
✅ Structural Reasoning: we tailor document extraction algorithms depending on the type, layout, and information
Our extraction agents are SOTA in price-performance on ExtractBench, across a wide range of cost points. We are the best tool for document extraction across documents of any complexity.
Blog: llamaindex.ai/blog/introduci…
All of these are available on LlamaParse: cloud.llamaindex.ai/ . Come check it out!
