LlamaIndex 🦙

Build scalable document processing pipelines using LlamaParse and @MongoDB. Our upcoming webinar next week shows you how to create production-ready systems that handle real-time document processing at scale: 📄 Smart document parsing with LlamaParse that goes beyond simple text…

You can now use Bedrock AgentCore Memory with LlamaIndex Agents! Handle both long-term and short-term memory to give your agents the ability to recall important facts during long sessions, all managed by AWS infrastructure! Features: - secure storage - access control - built-in…

Curious of how AI/ML-powered workflows can solve real-world challenges like anomaly detection? In this tutorial, @itsclelia walks you through how to design, build, and deploy an anomaly detection workflow using @qdrant_engine, @supabase, and LlamaAgents, the fastest way to take…

🚀 LlamaIndex is headed to @money2020 in Las Vegas! We’re meeting with fintech and financial leaders to show how AI agents built on LlamaIndex are transforming underwriting, compliance, operations and more — all powered by private docs & data. Want to see how? Book a meeting…

Build Text-to-SQL systems with open source Arctic models and agentic workflows 🚀 Our own @tuanacelik is speaking at @snowflakedb Build to show you how to create powerful data analysis agents that can handle complex, multi-part questions: 🤖 Build agents using LlamaIndex…

Build and serve LlamaAgents locally with llamactl - our CLI tool for creating, testing, and shipping LlamaAgents - built on top of LlamaIndex Workflows Get your workflow-driven agents running in minutes with these powerful features: 🚀 Initialize projects from templates with…

Turn natural language into SQL queries using open-source text2SQL models and our Workflows orchestration system. This comprehensive demo by @tuanacelik shows how to build sophisticated text-to-SQL applications that can understand complex queries and generate accurate SQL: 🔍…

“AI agents won’t replace analysts — they’ll redefine how analysts think.” In our latest AI Leader Series, Dhruv Shah, VP of AI Engineering at @OneCarlyle , shares how intelligent agents are transforming finance — combining innovation, reliability & trust.…

I used Claude Code Skills + souped up PDF parsing to create an M&A deal comp agent 🤖 Given a directory of public M&A filings (DEF 14A), it parses and analyzes each pdf, and generates an Excel sheet with deal terms and comparables. 1️⃣ The native parsing is pypdf which sucks, so…

We’ve built a fully open-source way for you to run, debug and visualize a multi-agent workflow, with complete support for human-in-the-loop and runtime comparisons. Introducing the Workflow Debugger 🐛🤖 - a HUGE addition to LlamaIndex Workflows, which is a flexible framework to…

Claude skills give coding agents the ability to automate knowledge work over docs 🛠️📑 I took a look at the PDF skill and it is surprisingly quite simplistic 🤔: 1. Use PyPDF for parsing 2. Use reportlab for pdf generation - which is cool, have been meaning to play around with…

Our Workflow Debugger is now shipping with LlamaIndex Workflows! 🐛 `pip install -U llama-index-workflows` When running your workflow as a server, this allows you to - Visualize your workflow before and as it runs - See event logs in real time - Compare runs and much more!…

Transform your document processing pipeline with LlamaParse and @MongoDB to extract meaningful insights from PDFs, reports, and contracts at scale. Join our upcoming webinar where we'll show you how to architect a production-ready solution that handles real-world document…

Build custom extraction agents in minutes, not days 🚀 Watch how easy it is to create a production-ready receipts extraction agent with LlamaAgents—complete with custom schemas, validation, and confidence scoring. In this demo, we go from basic setup to a fully deployed…

You might’ve known us as a “RAG framework” company - but we’ve been a best-in-class, agentic document OCR/workflow company for the past 1.5+ years! 📑🤖 We’re building the future of knowledge work over documents. Our website is awesome - check it out if you haven’t already 👇…

What if you could orchestrate your entire microservices setup using LlamaIndex Workflows? That’s the idea we explored, and the result is a working demo that brings together @docker, @apachekafka and Workflows to manage a small scale e-commerce system. In this walkthrough,…

We’re bringing AI agents to the insurance frontier at #ITCVegas2025 🦙 See how LlamaIndex is helping insurers streamline claims, underwriting & CX. 📅 Pre-book a meeting → get exclusive LlamaIndex swag 👇 🔗 landing.llamaindex.ai/itcvegas2025 #AIinInsurance #InsurTech #LlamaIndex

Classify documents automatically with LlamaClassify - no more manual sorting through contracts and legal documents. Our new classification service lets you build intelligent document sorting systems that understand content and provide reasoning for their decisions: 📄 Define…

EmbeddingGemma, a compact 308M parameter multilingual embedding model, perfect for on-device RAG applications - and we've made it super easy to integrate with LlamaIndex! 🛠️ Ready-to-use integration with LlamaIndex's @huggingface Embedding class - just specify the query and…

📄 Parse vs. Extract: Two Fundamental Approaches to Document Processing Building document agents? Knowing when to parse versus when to extract is fundamental to getting your architecture right. In this deep dive, @tuanacelik breaks down: 🔍 Parsing - Converting unstructured…