@llama_index
š We're running a LlamaAgents contest right now. Throw your hardest documents at our agent builder, and tell us how it goes. Want help getting started? We have a new walkthrough for the LlamaAgent Builder by @tuanacelik š¬ Describe a document workflow in natural language, and it builds a full agent for you. In this video, the prompt was basically: "split a resume book into individual resumes, ignore cover pages and curriculum pages, extract resume work and education related fields..." š ļø From that, the agent builder reasons about which LlamaCloud tools to use, lands on LlamaSplit + LlamaExtract, configures both, iterates on the workflow structure, and gives you a deployable agent with an API and UI. No dragging boxes around. No writing workflow code (unless you want to). Just describe the problem and let it figure out the architecture. You own the code, it pushes to your GitHub. Clone it, open in Cursor, customize whatever you need. https://t.co/QAvGwI3FIg