LlamaIndex 🦙

We probably shouldn't tell you how to build your own document parsing agents, but we will 😮. AI agents are transforming how we handle messy, real-world documents that break traditional OCR systems. Join our live webinar on December 4th at 9 AM PST where the LlamaParse team…

Deploy production-ready agent workflows with just one click from LlamaCloud. Here's us deploying the SEC filling extract and review agent! Our new Click-to-Deploy feature lets you build and deploy complete document processing pipelines without touching the command line: 🚀…

Calling all community members: Join us this Thursday for an office hours in our Discord server, all about LlamaAgents and LlamaSheets. This is a chance to ask anything on your mind about two of our latest releases, and learn about what's coming up next. Drop in anytime from 11AM…

Claude Code over Excel++ 🤖📊 Claude already 'works' over Excel, but in a naive manner - it writes raw python/openpyxl to analyze an Excel sheet cell-by-cell and generally lacks a semantic understanding of the content. Basically the coding abstractions used are too low-level to…

Build scripts that automate spreadsheet analysis using coding agents and LlamaSheets to extract clean data from messy Excel files. 🤖 Set up coding agents like @claudeai and @cursor_ai to work with LlamaSheets-extracted parquet files and rich cell metadata 📊 Use formatting cues…

Automate ETL over Financial Data 📊 Most real-world financials are not “database-shaped”, and requires a ton of human effort to manipulate/copy an Excel sheet into structured formats for analysis. We recently launched LlamaSheets - a specialized AI agent that automatically…

POV: You're building an agent and it keeps giving weird answers because your PDF parsing is broken 🫠 This is a great walkthrough by @mesudarshan showing exactly how to use LlamaParse to fix this—from basic setup through advanced configs. The video walks through: · Why most PDF…

Stop losing 80% of your data when extracting from long documents with repeating entities like catalogs, tables, and lists. Our new Table Row extraction target in LlamaExtract solves the core problem: instead of trying to extract everything at once (where LLMs get overwhelmed),…

We launched a new API today to let you parse any Excel sheet in a structured table. Take a look at this example on core production costs 🌽: 1️⃣ The table is located at the center of the sheet with headers, footnotes, and a hierarchical column layout 2️⃣ We get back a structured…

Announcing LlamaSheets in beta 🔥 Transform your messy spreadsheets into AI-ready data with our newest LlamaCloud API 📊 LlamaSheets (in beta) is a specialized API that automatically structures complex spreadsheets while preserving their semantic meaning and hierarchical…

Have a LlamaAgent organize your study material: meet StudyLlama, a web app that uses LlamaAgents to help you organize and gather insights from your notes and papers! How it works: 📊 Create categories to classify your notes 📓 Upload your notes 🤖 Watch as LlamaClassify assigns…

Extract data from table rows with precision using LlamaExtract's Table Row mode 📊 LlamaExtract now offers granular extraction capabilities that go beyond document-level processing, giving you powerful control over how your schema is applied: 🎯 Table row extraction applies…

Not another PDF parser 📄 🤯? Here's why AI-powered document parsing is all the rave. AI document parsing has evolved beyond OCR to systems that truly understand documents like humans do 🧠 In our latest blog post, we explore what's changing the game: 📊 Zero-shot semantic…

Agentic Document Workflows are crucial for AI-driven knowledge work and automation, but they are often treated as black boxes, which leads to silent failures and unexpected behaviors. With our Agent Workflows you don't have to worry about not knowing what is happening behind the…

I tried out Gemini 3 Pro on document parsing tasks 📄🤖 Tl;dr it’s pretty good at general visual understanding, but still can’t one-shot tables (and qualitatively seems worse than some other models at table understanding) A great addition to any document OCR toolkit, especially…

We’ve built one of the most advanced ways to help you automate knowledge work over your documents A lot of document work depends on encoding custom processes. For instance, enforcing custom validation checks, doing web search, integrating with external systems. LlamaAgents is a…

The @GoogleDeepMind team just dropped Gemini 3, and we at LlamaIndex have day-zero support! We also made a little demo to show how you can leverage the advanced agentic capabilities and structured output accuracy of Gemini 3 to automate your GitHub workflow around PRs, you just…

LlamaAgents is now in open preview - the fastest way to build, serve, and deploy multi-step document agents that combine LlamaCloud's document extraction and parsing power with Agent Workflows orchestration. 🚀 Get started instantly with pre-built templates for SEC filings,…

Document AI goes beyond traditional OCR to create intelligent systems that read, understand, and act on documents like humans do. Our latest blog post explains how agentic OCR combined with LLM-powered workflows is transforming document automation across industries: 🧠 Agentic…

We’ve created a specialized agent tuned for row-level table extraction 🧩🤖 A lot of document workflows involve converting a complex table in a .pdf/.docx file into an Excel spreadsheet. Oftentimes this work is done manually. We created a mode in LlamaExtract that only deals…

Chart OCR just got a major upgrade with our new experimental "agentic chart parsing" feature in LlamaParse 📈🧪 Most LLMs struggle with converting charts to precise numerical data, so we've created an experimental a system that follows contours in line charts and extracts…