Explore how Generative AI applications can retrieve and process information from multiple formats, including text, images, audio and video.
Join the Multimodal RAG Workshop by Mr. Shiva Rama Krishna, organized by Naresh i Technologies.
Multimodal RAG Workshop Details
What Is Multimodal RAG?
Retrieval-Augmented Generation (RAG) is a technique that connects generative AI models with external information.
Traditional RAG applications commonly retrieve text from documents or knowledge bases.
Multimodal RAG extends this approach to different information formats, including images, audio and video. This enables developers to explore AI applications that work with more than written text.
What Will the Workshop Explore?
- Understanding Retrieval-Augmented Generation fundamentals
- Exploring RAG with text documents
- Understanding image-based retrieval
- Exploring audio and video information in multimodal AI systems
- Connecting multiple data formats with Generative AI applications
- Understanding practical use cases of multimodal AI
Why Is Multimodal RAG Important?
Real-world applications work with different types of information. Businesses handle documents, images, recorded conversations, product visuals and videos.
Multimodal RAG can help AI applications search and use relevant information from these sources.
Developers working with Python, Generative AI, data engineering and AI applications can benefit from understanding this approach.
Who Can Attend This Workshop?
This workshop may be useful for students, freshers, software developers, Python learners, data science learners, and professionals interested in Generative AI applications.
Basic familiarity with programming and AI concepts may help participants follow the technical discussions.
Frequently Asked Questions
When is the Multimodal RAG Workshop?
The workshop is scheduled for 7 November 2026 at 10:30 AM IST.
Who is conducting the workshop?
Mr. Shiva Rama Krishna is the announced workshop trainer.
How can I join the workshop?
Participants can use the Zoom link provided in this announcement.
What does Multimodal RAG mean?
Multimodal RAG combines retrieval techniques with Generative AI across different data formats such as text, images, audio and video.
Is this workshop relevant to Python learners?
Yes. Python is commonly used in AI application development, making multimodal retrieval a relevant learning topic.
Join the Multimodal RAG Workshop
Explore how AI applications can move beyond text-based information and work with multiple media formats.
Join Workshop