Build enterprise AI applications with LlamaCloud Index and connect them to intelligent tool calling agents that can handle complex, multi-step queries. This tutorial by @seldo walks you through creating your first LlamaCloud Index, using JP Morgan Chase banking documents and building an agent that can reason across multiple data sources: 🏦 Set up LlamaCloud Index to parse and index dense PDF documents like banking agreements and fee schedules 🤖 Create multi-tool agents using our Workflows abstraction that can query your indexed data alongside other functions 💰 Handle complex scenarios like calculating banking fees across multiple transactions and timeframes 📊 Stream agent reasoning in real-time to see exactly how your AI system processes multi-step problems The agent successfully processes a complex banking scenario involving overdraft calculations, fee assessments, and timing - demonstrating how LlamaCloud Index integrates seamlessly with agentic workflows built on our open source framework. 📹 Watch the full walkthrough: 📖 Get started with the tutorial: