Knowledge catalogue
ChatGPT Work == Claude Cowork ChatGPT Codex == Claude Code I kinda wish OpenAI created a single unified app surface for all work, coding or not, even though I get the UI/UX would be different Introduc
Congrats to our llama cousins 🫡🦙 Big day for Ollama! When we started, open models and the open source AI ecosystem were in their early days with few believers. Our belief in open source has never wave
Low user caps in LlamaParse? Gone.🎉 Every plan — Free through Pro — now unlocks up to 100 team members. No more picking who gets a seat. No more shared logins. No more upgrading just to invite a teamm
@OpenAI released GPT 5.6 today and we ran a day 0 benchmark in ParseBench to test improvements in document understanding. The new family of models continues to excel at reading text and tables, but co
🚀 PdfItDown 4.2.0 is here! This release brings a major performance upgrade: >⚡ Up to 7× faster image → PDF conversion > 🖼️ New support for BMP and SVG images Works out of the box with: 🦀 Rust • 🐍 Pyth
We comprehensively benchmarked GPT-5.6 on document understanding. At a high-level there's no change between GPT-5.6 Sol and GPT-5.5 in terms of performance over tables, text, charts, layout, and more.
LlamaIndex is inviting users to process large-scale document collections through its cloud platform at cloud.llamaindex.ai. The post, from LlamaIndex founder Jerry Liu, highlights the platform's capab
Introducing: Granular job tracking and cost attribution in LlamaParse 🦙 Parsing thousands of pages a day is a lot to manage. Engineering teams need to have a pulse on what's running, who ran it, and w
Processing millions of documents per day/month at scale requires a robust observability layer. We've built in granular job tracking and cost attribution within LlamaParse that lets you easily create a
You don't need heavyweight VLMs to OCR simple text-only PDFs. Doing that is like bringing a bazooka to a knife-fight, and is completely unnecessary and worse quality than a tuned OCR approach. Output
We've rolled out improvements to LlamaParse Cost Optimizer. Our intelligent tier routing now more reliably ensures you always strike the right balance between cost and accuracy when processing large d
As you can tell, we’ve gone all in on building the best in class document understanding service with LlamaParse. If you’re looking to process complex documents in production, come check out LlamaParse
Building the Document Context Layer for AI Agents AI Agents are the new knowledge workers, but the vast majority of knowledge work depends on unstructured documents. If you don’t build the proper tool
How do you trace one number in a 200 page ESG report back to the exact page it came from? We dug into that with the @llama_index team behind LiteParse. We tested five ways to retrieve evidence across
Is this what founder mode looks like Sources: President Trump, commerce secretary Howard Lutnick, and White House task force head Andrew Giuliani put together a team of elite lawyers — from outside th
Most agentic retrieval demos assume clean, well-structured documents. Enterprise reality is often different, consisting of messy PDFs where critical information is buried across tables, figures, and c
This post discusses tools and approaches for schema-based data extraction from documents, drawing a parallel to how Tesseract provides accessible OCR capabilities. The author explores what free or eff
There is a massive demand for processing files *in the agent loop*. The number of users submitting agent queries with file attachments is exponentially increasing over time. Our mission is to make Lit
Happy July 4th everyone 🇺🇸 250 years ago, our founding fathers did not have access to frontier models. (Alexander Hamilton wrote 51 of the 85 Federalist papers. Imagine how many he would've written if
I’ve gotten reasonable success by creating a skill that reflects my writing style, and hillclimbing the skill based on my real writing samples. I think that solves 70% of the style problem, though doe
We've created a comprehensive Retrieval Harness for modern agentic retrieval in 2026. The harness provides a persistent data pipeline that can connect to a data source, index and update a large knowle
.@aiDotEngineer World's Fair was one of the most unique, interesting conferences I've been to: - incredible conversations with builders - hilarious & creative touches (shout out @swyx) from a flash mo
Hello brother We've been thinking about the best way to use screen data for a while now. After 500k hours of beta use, we're launching Dayflow: the open source automatic work journal. One of my favori
# Summary This post likely critiques the trend of 'loop engineering' as an example of superficial, trend-chasing content popular among tech influencers on LinkedIn, questioning whether it represents g
Jerry Liu highlights the scroll feature in the Claude Code CLI as a beneficial functionality. The post suggests this feature improves the user experience when working with the Claude Code command-line
The team at @vercel recently released the Eve agent framework, so we built a template that integrates LiteParse with it🦙 The template provides a set of read-only filesystem tools that let Eve resolve
You are going to end up running hallucinated code ~60% Fable cost cut by transparently turning the code into an image and having the model OCR it. WILD idea. also hilarious. https://github.com/teamcho
3 years ago I gave a talk at the first @aiDotEngineer conference on 'Advanced RAG' techniques in order to work around the limitations of naive RAG. It's insane how much the world has changed since the
This post credits Murtaza Khomusi for a contribution shared by Jerry Liu on X (formerly Twitter), likely related to AI, LLMs, or open-source development given the context of Jerry Liu's typical conten
LiteParse runs anywhere, including inside agent runtimes. To prove it, we built an email processing assistant using @flueai (the agentic framework by @astrodotbuild), @resend webhooks, and @tursodatab
This post from Jerry Liu on X likely comments humorously or critically on out-of-home (OOH) advertising campaigns in San Francisco, possibly critiquing their effectiveness, messaging, or prevalence in
I cannot provide an accurate summary as the title appears to be truncated and the full content is not accessible. This appears to be a Twitter thread or discussion involving multiple participants disc
ai pickleball tournament was actually so good. they executed the concept perfectly. glad @MehulKalia_ and i showed up from Notion to see some familiar faces :) @braintrust @modal @browserbase @llama_i
Are there any CS profs left at Berkeley and Stanford? Might as well just merge all the PhD students into the big labs at this point Department Chair of Electrical Engineering and Computer Sciences at
Claude Fable 5 will be available again globally tomorrow. After a series of productive conversations with the US government, we're redeploying the model with a new set of classifiers to target and blo
Fable 5 back Lebron possibly to the Warriors AI eng world fair it's a good week to be in SF We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mytho
Game. Match. That's a wrap on the inaugural Agent Open 🦙🌤️🏓 Hundreds of AI builders, 64 matches, 7 partners, 2 courts. No dink shots or demos, just backhands and hot takes. Thanks to our partners @Bra
Happy Canada Day! 🇨🇦 AI, ML, RAG, and LLMs are a pretty niche space overall. But, I'm consistently impressed with the talent that Canada ships out, from colleagues to competitors. Gives me the patriot
I asked @morgane_paloma if we should sponsor Spin. Instead, we created the fifth Grand Slam. All time 🐐 The Agent Open was a galaxy brain idea that @murtazakhomusi and I did together — couldn’t be hap
Super fun to touch grass with friends from @turbopuffer @modal @llama_index @p0 @browserbase @cursor_ai The Agent Open was a galaxy brain idea that @murtazakhomusi and I did together — couldn’t be hap
Jerry Liu reflects positively on collaborating with Murtaza Khomusi on 'The Agent Open,' expressing satisfaction with the decision to pursue the project. The post suggests this was a successful initia
This was an awesome collab between 7 companies 🔥 Huge shoutout to @browserbase @modal @braintrust @turbopuffer @p0 @cursor_ai and of course our very own @llama_index teams. For those who attended - ho
We are SO back Claude Fable 5 will be available again globally tomorrow. After a series of productive conversations with the US government, we're redeploying the model with a new set of classifiers to
This post likely discusses the paradox of experiencing fear of missing out (FOMO) on emerging technologies or trends, while lacking practical applications or use cases to justify adoption. The content
Doors are open at Agent Open, right next door to AI Engineer Two courts, blue sky, no fog (a San Francisco miracle) 🌤️ This is the perfect walk-over window, we are just 3 minutes from Moscone. Don't m
Fully solving document parsing includes covering every point on the Pareto curve of accuracy, cost, and latency: 1️⃣ High-accuracy parsing - requires 99%+ accuracy, price insensitive. Especially relev
Today’s the day. The inaugural Agent Open is here and it’s gonna be awesome. Arrive early, play some pickleball, meet some people, eat good food, and enjoy the panel featuring @travers00 @ankrgyl @Sir
We just made it a lot easier for AI agents to work with your documents. LlamaParse MCP now does more than parse or classify files: it can pull structured data out of contracts, invoices, and reports a
This is a neat idea around doing model routing and sub-agent delegation while ensuring cache hits on accumulated context for all agents. It makes a lot of sense: you want to ensure that all subagents
We're all over AI Engineer World's Fair on June 29 to July 2. 🦙 📍Visit us at booth L-G47. LlamaParse demos + Fear of Docs swag 🎤 @jerryjliu0, our Founder & CEO, on agentic document parsing and shippin
We're excited to introduce the Retrieval Harness in LlamaParse - which is the 2026 version of RAG over documents Generalized agents need the right set of tools to scalably search and read through an a
Which AI engineer is GOATed at pickleball? Come find out tomorrow! https://luma.com/the-agent-open?tk=F0FFFy Bring your hot takes and your drop shots.🔥 Next week, we're co-hosting The Agent Open: an a
Agreed with this. There's a lot of value in both agents and software (i don't think SaaS is dead), but the product interfaces are different: 1. An agent is like a human. There are a core set of interf
From playing around with /goal It feels like there's less and less of a need to build any type of workflow manually (whether through code, drag and drop, or a prompt). Instead, specify the goal, let t
It really isn't an exaggeration! LiteParse clocks in at an average of 3ms per page for a reason: it skips the heavy AI processing and cloud overhead entirely. Here is exactly how it pulls off that kin
LiteParse is unreasonably good for document parsing ✅ It is the fastest document parsing tool out there - average parse time per page is 3ms ⚡️⚡️ ✅ Now that we support markdown, it tops opendataloader
The @n8n_io node for the LlamaParse Platform is now an officially verified community node🦙 Out of the box, you get access to parsing, splitting, classification, structured data extraction and retrieva
You can now equip your n8n workflows with the world's best parsing/extraction over your most complex documents 📃💫 We're excited to announce that LlamaParse is now an officially verified community node
Catch me + five epic and extremely hands-on AI founders on Tuesday (30 June) - @ankrgyl, @jerryjliu0, @Sirupsen, @bernhardsson & @travers00 It just so happens to be smack in the middle of an AI pickle
We built LiteParse, the fastest document parsing solution on the planet and made it open source. And it just hit 10k github stars. 🦙 Fast to run. Fast to love. Thanks for building with us. If you have