LlamaParse Builds Document Infrastructure Roadmap For AI Agents
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This week we had a huge global company onsite in SF 🌉 (the company has 2x’ed in size since our last one!) We solidified our roadmap towards becoming the best document infrastructure for AI agents. We’re building a cracked AI lab focused on all aspects of document work - from document OCR, extraction, search, to e2e workflows - and hillclimbing our capabilities through model training, agent engineering, and deep infrastructure expertise. We’re also committed to building the most comprehensive, unbiased benchmarks to advance the Pareto frontier for all document tasks. ParseBench has 2k+ enterprise pages, ~80 solutions verified, 15k monthly downloads, and is available across HuggingFace and Kaggle. Next up is increasing our dataset (more verticals) and task coverage (e.g extraction). LlamaParse agentic and cost-effective modes directly define the Pareto curve for VLM-based OCR solutions and we’re making rapid leaps across complex tables, charts, fonts, layouts and more every single day. In addition, liteparse is the fastest, most performant free parser out there and is quickly becoming one of the most popular, eclipsing 11.5k+ stars in ~2 months. This week we did some work and had a lot of fun. Maybe a little too much fun 😅: * Spraypainting * Darts * Topgolf * Escape Room * Soccer * Many dinners * Raising Canes for lunch Time to lock back in. You’re going to see us ship an insane amount of stuff in Q3.
We have a new company-wide swag collection 🔥
This week we had a huge global company onsite in SF 🌉 (the company has 2x’ed in size since our last one!) We solidified our roadmap towards becoming the best document infrastructure for AI agents. We’re building a cracked AI lab focused on all aspects of document work - from document OCR, extraction, search, to e2e workflows - and hillclimbing our capabilities through model training, agent engineering, and deep infrastructure expertise. We’re also committed to building the most comprehensive, unbiased benchmarks to advance the Pareto frontier for all document tasks. ParseBench has 2k+ enterprise pages, ~80 solutions verified, 15k monthly downloads, and is available across HuggingFace and Kaggle. Next up is increasing our dataset (more verticals) and task coverage (e.g extraction). LlamaParse agentic and cost-effective modes directly define the Pareto curve for VLM-based OCR solutions and we’re making rapid leaps across complex tables, charts, fonts, layouts and more every single day. In addition, liteparse is the fastest, most performant free parser out there and is quickly becoming one of the most popular, eclipsing 11.5k+ stars in ~2 months. This week we did some work and had a lot of fun. Maybe a little too much fun 😅: * Spraypainting * Darts * Topgolf * Escape Room * Soccer * Many dinners * Raising Canes for lunch Time to lock back in. You’re going to see us ship an insane amount of stuff in Q3.
Inspired from some of the hoodies I personally own. Thanks @murtazakhomusi for humoring me on this