LlamaIndex 🦙

📄 Still fighting with OCR for document processing? PDFs are everywhere but parsing and extracting their data has always been a nightmare. Time to automate PDF parsing and extraction with LLMs: 🔥 Beyond OCR limitations 🚀 Intelligent document understanding 💡 Transform PDFs →…

New LlamaParse feature: header and footer detection! If you're using Balanced or Premium mode, we will automatically detect page headers and footers. This allows you to selectively hide them from your parsed output (useful to avoid repetition) or to add prefixes and suffixes to…

LlamaCloud nodes for @n8n_io are here! We've created and n8n nodes that bring LlamaCloud's document parsing and extraction agents, as well as your LlamaCloud indexes as knowledge bases into your n8n automation workflows. 🤖 Connect LlamaCloud nodes to your existing workflows…

We’ve built a fully open-source RFP (Request for Proposal) Response Agent that you can both use out-of-the-box and also clone/modify for whatever use case you’re solving! 💫 Generating responses to RFPs is a time-consuming task that requires humans to both analyze piles of…

Ready to build cutting-edge AI agents that push the limits of LLMs? 🚀 We're excited to sponsor the A2A Agents Hackathon in San Francisco this Saturday, July 26, where our VP of Developer Relations @seldo will be speaking and judging alongside incredible experts from…

Automate RFP Responses in Minutes with our open-source project! Learn how to transform the time-consuming RFP (Request for Proposal) response process from hours of manual work into an automated workflow that takes just minutes. This open-source demo showcases LlamaIndex's…

🎙️ Always wanted to turn your documents into in-depth, podcast-like conversations? 🦙📚 NotebookLlaMa, our OSS @NotebookLM clone, just got an upgrade on that side! 🎧 You can now customize the style of the conversation and the target audience, as well as add instructions and…

Introducing `gut` - an AI agent for git 🤖🧑‍💻 This is a really neat CLI-based tool from @itsclelia that lets you ask about and execute git commands through natural language! Describe what you want to do in English (e.g. a complex rebase), and it’ll let you review and auto-execute…

If you’re using AI agents for large-scale document extraction 📑✂️, you will need to craft a good structured output schema. Most LLMs support structured output these days, but here are tips and tricks from learned experience💡 1️⃣Try to limit schema nesting to 3-4 levels. 2️⃣ Make…

Build advanced agentic RAG applications that go beyond simple Q&A to perform multi-step reasoning, make decisions, and dynamically interact with both internal knowledge bases and external APIs. This comprehensive @aws guide shows you how to create a powerful research tool using…

Agents to extract structured tables from any PDF in seconds ⚡️ A lot of PDFs (financial reports, research papers, invoices), have complex charts and tables that require a lot of human effort to format into a tabular representation (e.g. in Excel, CSV, or Pandas). We added a…

📈 Table extraction is a key component of intelligent document processing, and we know it very well - that's why we added support for one-click table extraction within LlamaParse. Check out this notebook: github.com/run-llama/llam… And the demo below!👇

Build long-running human-in-the-loop agents that can pause, wait for user input, and resume seamlessly with LlamaIndex workflows. Human-in-the-loop is essential when your AI agents need user approval for critical decisions, require domain expertise for complex tasks, or need…

The Hitchhiker’s Guide to Productionizing Retrieval 🤖 This is a must-read starter by @itsclelia, in partnership with @qdrant_engine, for anyone looking to build a RAG/retrieval pipeline for your AI agents. It contains practical tips and reference repos 📚 for every stage of the…

Join our own @tuanacelik at ODSC's Agentic AI Summit tomorrow! She'll be presenting a hands-on workshop where you'll learn how to: ➡️ Build agents using LlamaIndex - Learn to create autonomous applications that use goals and tools to accomplish tasks independently ➡️ Compose…

Ready to build production-ready RAG systems? Our Open Source Engineer @itsclelia shares battle-tested lessons from building vector search applications in the wild. 🔧 Text extraction strategies: when to use simple parsing vs advanced OCR-based solutions like LlamaParse for…

Deploy LlamaIndex agents seamlessly into enterprise environments with @UiPath's new coded agents support. 🚀 Full code-level control with the UiPath's Python SDK 🔧 Build custom agents that pull data from enterprise systems and make decisions using embedded rules or AI models ⚡…

We're partnering with @Snowflake to bring you hands-on talks and concrete patterns you can implement immediately. Join us at our Amsterdam meetup on July 31st where we'll show you exactly how teams are building high-quality data agents in production. Build production-ready…

LLM APIs are not complete document parsers There’s been a lot of interest on how LLMs can replace existing OCR solutions altogether, and a baseline is screenshotting the page and feeding it to your favorite LLM API (OpenAI/Sonnet/Gemini). My argument is that 1) yes more…