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Building a Multimodal RAG App for Medical Applications
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In this comprehensive guide, I delve into the fascinating world of multimodal Retrieval Augmented Generation (RAG) applications, tailored for medical use cases. This tutorial is a treasure trove of information for anyone interested in Gen AI and its applications in the healthcare sector.
Throughout this video, I demonstrate how to build a cutting-edge multimodal RAG app using a synergy of advanced technologies. The core of this application is the powerful GPT-4V, a large language model known for its versatility and depth in handling complex tasks. To enhance its capabilities, I integrate an embedding model and a vector database, which collectively work to enrich the app's understanding and response accuracy.
A key feature of this tutorial is the use of FastAPI, a modern, fast web framework for building APIs with Python. I walk you through the nuances of utilizing FastAPI to construct a robust and efficient backend for our application.
Moreover, I showcase the use of the unstructured library, a vital tool for handling tables and images in PDF documents. This functionality is crucial for the medical field, where information is often encapsulated in various formats within documents.
The highlight of this app is its user interaction capability. End users can pose queries, and the app, leveraging its multimodal capabilities, generates precise answers accompanied by relevant images extracted from documents. This feature exemplifies the practical application of Gen AI in providing enhanced user experiences and efficient information retrieval.
This tutorial is not just about building an app; it's about exploring the potential of Gen AI in revolutionizing how we interact with technology, especially in critical sectors like healthcare.
I encourage you to watch, learn, and embark on this journey with me. Your feedback is invaluable, so please feel free to leave your thoughts in the comments section. If you find this video helpful, don't forget to hit the 'Like' button and subscribe to my channel for more content on Gen AI and its transformative applications.
Don't forget to like, comment, and subscribe for more insightful and innovative Gen AI tutorials!"
Join this channel to get access to perks:
#ai #generativeai #doctor
Throughout this video, I demonstrate how to build a cutting-edge multimodal RAG app using a synergy of advanced technologies. The core of this application is the powerful GPT-4V, a large language model known for its versatility and depth in handling complex tasks. To enhance its capabilities, I integrate an embedding model and a vector database, which collectively work to enrich the app's understanding and response accuracy.
A key feature of this tutorial is the use of FastAPI, a modern, fast web framework for building APIs with Python. I walk you through the nuances of utilizing FastAPI to construct a robust and efficient backend for our application.
Moreover, I showcase the use of the unstructured library, a vital tool for handling tables and images in PDF documents. This functionality is crucial for the medical field, where information is often encapsulated in various formats within documents.
The highlight of this app is its user interaction capability. End users can pose queries, and the app, leveraging its multimodal capabilities, generates precise answers accompanied by relevant images extracted from documents. This feature exemplifies the practical application of Gen AI in providing enhanced user experiences and efficient information retrieval.
This tutorial is not just about building an app; it's about exploring the potential of Gen AI in revolutionizing how we interact with technology, especially in critical sectors like healthcare.
I encourage you to watch, learn, and embark on this journey with me. Your feedback is invaluable, so please feel free to leave your thoughts in the comments section. If you find this video helpful, don't forget to hit the 'Like' button and subscribe to my channel for more content on Gen AI and its transformative applications.
Don't forget to like, comment, and subscribe for more insightful and innovative Gen AI tutorials!"
Join this channel to get access to perks:
#ai #generativeai #doctor
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