Product Overview - Llama Index introduces a customizable extraction review template for specific data types, focusing on receipts and invoices [1] - The template aims to streamline the extraction process from messy and varied line items, including taxes [1] - The solution includes a validation feature to ensure data accuracy [6] - The custom extraction agent can be deployed on Llama Cloud [6] Schema Development & Customization - Schema development is a key aspect, and the template helps users focus on this task [2] - The system allows for updating front-end schemas and re-uploading data to reflect changes [3][4] - Users can build custom UI around receipts data for better context [5] Deployment & Validation - The deployed app allows for distinct production data sets [5] - The system highlights fields with low confidence, enabling efficient review [4] - Validation ensures the extracted data is accurate [6]

Today we're opening Llama agents to early access. And in this video I'm going to walk you through how you can get started. Um at the end of the video, what I want to achieve is an agent that's been deployed to our Llama Cloud project.Um and to start off with that, what we first need to install is Llama Control. So you can start with UV install Llama control. I already have it.And once you have that installed, you can say llamactl in it, which will spin up a CLI that allows us to decide what kind of llama ag ...