Hi there, Llama Enthusiasts! 🦙
Welcome to this week's edition of the LlamaIndex newsletter! We're excited to bring you updates including major enhancements to LlamaAgents Builder with file upload support, a hands-on Gemini 3.1 Pro receipt analyzer demo, insights on reasoning models vs. document parsing, and powerful new citation capabilities. Check out these developments along with our comprehensive guides and tutorials to maximize your use of these new features.
🗞️ LlamaCloud is now LlamaParse
Over the next few weeks, you’ll see LlamaCloud transition to LlamaParse across our docs and website. Over the past year, our enterprise platform has evolved into a truly agentic document processing platform, with LlamaParse at its core. Renaming the product reflects that evolution and sharpens our focus on what we do best: powerful document parsing and agentic workflows for document-centric automation.
More innovations coming soon!
If you haven't explored LlamaParse yet, make sure to sign up and get in touch with us to discuss your specific enterprise use case.
🏆 LlamaAgents Contest — Last chance!
This week is the last chance to submit an entry for our LlamaAgents contest! Got messy PDFs, invoices, or filings? Build a document agent that turns them into clean, structured data. Make your repo public, and show us how it works. Head to the Agent tab in LlamaParse to get started! Signup to LlamaParse and visit the Agent tab for more information! The best agents win $200 prizes.
📆 Upcoming Webinar
Scaling Document Ingestion with Stack AI and LlamaIndex February 26th
Most AI agent pipelines break down at the document layer. When you're dealing with millions of files across formats — PDFs, spreadsheets, images, notes — parsing and retrieval quality is what makes or breaks the whole system. In this session with Stack AI, we're going into what it actually takes to do this well at scale using LlamaParse, based on what we've seen in real production deployments. Register here →
🤩 The Highlights:
- LlamaAgents Builder File Upload Support: Our natural language interface for building agentic document workflows now supports file uploads, allowing you to provide example documents as context for more tailored applications. Video Walkthrough, Get Started.
- Gemini 3.1 Pro Receipt Analyzer Demo: A hands-on demo powered by LlamaCloud that turns receipt photos into financial insights using LlamaParse, SQLite storage, and Gemini 3.1 Pro for trend analysis and actionable tips. GitHub Repo, Get Started.
- The Cost of Overthinking: Why Reasoning Models Fail at Document Parsing: Our analysis showing how higher reasoning levels in GPT-5.2 actually hurt document parsing performance while dramatically increasing costs and latency, with LlamaParse Agentic outperforming at 18x lower cost. Full Analysis.
☁️ LlamaParse:
- LlamaAgents Builder Contest: We're running a contest to test our agent builder with your hardest documents. New walkthrough shows how to describe document workflows in natural language and get deployable agents with APIs and UIs. Video Tutorial.
- Page-Level Citations in LlamaExtract: New feature provides data mapped to specific pages with bounding boxes showing exact locations for audit-ready citations, turning 200-page docs into skimmable, structured insights.
- Invoice Reconciler Demo: AI agent that reviews invoices against contracts and flags mismatches using LlamaParse for document conversion, LlamaCloud indexes for retrieval, and LlamaAgent Workflows for orchestration. Video Walkthrough.
