LlamaIndex + @ollama Multimodal Tutorial 🦙🎞️ Our latest tutorial video shows you how to build context-augmented multimodal applications that run purely on your MacBook! Learn how to intelligently read receipts, augment product images with a knowledge base, and do RAG over an…

Build Context-Augmented Multimodal Applications on Your MacBook with LlamaIndex Tutorial

1. LlamaIndex Multimodal Tutorial
2. Context-augmented multimodal applications

Are you ready to take your application development skills to the next level? Look no further! In this tutorial, we will show you how to build context-augmented multimodal applications using LlamaIndex and Ollama. And the best part? You can do it all on your trusty MacBook!

Intelligently Read Receipts

One of the key features we will explore in this tutorial is the ability to intelligently read receipts. Imagine how much time and effort you can save by automating this process! With LlamaIndex and Ollama, you can easily extract important information from receipts, such as the total amount spent, the date of purchase, and the items purchased.

Whether you’re a small business owner managing expenses or an individual looking to keep track of your spending, this feature will revolutionize the way you handle receipts. No more manual data entry or searching through piles of paper – let technology do the work for you!

Augment Product Images with a Knowledge Base

Have you ever wanted to know more about a product just by looking at its image? With LlamaIndex and Ollama, you can augment product images with a knowledge base, providing valuable information right at your fingertips. Whether you’re shopping online or browsing through a catalog, this feature will enhance your shopping experience.

Imagine you’re browsing through an online store and come across a stylish pair of shoes. Instead of relying solely on the product description, you can simply hover over the image to access additional details, such as customer reviews, similar products, and styling tips. This not only saves you time but also helps you make more informed purchasing decisions.

Perform RAG Analysis

RAG (Red, Amber, Green) analysis is a powerful tool used in various industries to assess and visualize data. In this tutorial, we will show you how to perform RAG analysis over a dataset using LlamaIndex and Ollama. This feature is particularly useful for project management, risk assessment, and performance evaluation.

By using RAG analysis, you can quickly identify areas that require attention or improvement. The visual representation of data helps you understand complex information at a glance, making it easier to make data-driven decisions. Whether you’re a manager overseeing a team or an individual tracking personal goals, RAG analysis will be a valuable addition to your toolkit.

Conclusion

With LlamaIndex and Ollama, you have the power to build context-augmented multimodal applications that will revolutionize the way you work and interact with technology. From intelligently reading receipts to augmenting product images and performing RAG analysis, the possibilities are endless.

So why wait? Grab your MacBook and get started on this exciting journey today. Unlock the full potential of your applications and elevate your development skills to new heights. Embrace the future of technology with LlamaIndex and Ollama!

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