Revolutionizing Knowledge Retrieval: Multi-Input RAG with Chat, YouTube, URLs, and Files
Explore how multi-input Retrieval-Augmented Generation (RAG) models transform data retrieval by integrating chats, YouTube videos, URLs, and files into a single conversational system. This session will demonstrate leveraging these diverse data sources for more powerful, accurate, and real-time responses.
At HiDevs, we are on a mission to build a specialized workforce to meet the demands of the rapidly evolving tech landscape.
Our focus on Gen AI and advanced tech skills sets us apart, enabling our students to transition seamlessly from academia to industry.
We provide the tools, mentorship, and hands-on experience necessary to succeed in today’s competitive job market.
Why Attend:
Discover how Multi-Input RAG models can enhance your knowledge retrieval processes.
Learn how to integrate various data types (chat, YouTube, URLs, files) into a unified system.
Understand the practical applications of RAG in real-time data-driven environments.
Key Highlights:
Overview of Multi-Input RAG (Retrieval-Augmented Generation) technology.
Combining diverse inputs like chats, videos, URLs, and documents for smarter responses.
Live demo showcasing seamless multi-input retrieval.
Real-world use cases for leveraging RAG to improve decision-making and insights.
For more information, visit our website:
You can also access our HiDevs brochure here and explore The Story of Founder, Mr. Deepak Chawla here
Join the webinar and upskill yourself to become part of the Gen Al workforce, shaping the future of technology with HiDevs.