Skip to content

October 2025 Meetup

In an era where enterprises generate massive, complex streams of unstructured data from documents and logs to images, audio, and video, traditional search and analytics fall short. This session explores a transformative, production-ready framework for Multimodal Retrieval-Augmented Generation (RAG), designed to redefine how organizations unlock insights from every data modality.

Jeff Triplett Headshot

Discover how an intelligent agent, built using cutting-edge encoders and composable AI models, empowers organizations to understand, retrieve, and reason over diverse information in real time.

We'll dive into a practical architecture that orchestrates advanced feature extraction, hybrid semantic and metadata-based retrieval, and large language model reasoning to deliver contextually rich, accurate answers - even for complex, cross-modal queries. Learn how real-world enterprises are leveraging this approach for intelligent surveillance, anomaly detection, and next-generation search, and see actionable metrics on recall, latency, and system robustness. Finally, we will also discuss how Multimodal RAG is setting the new standard for the future of computing and enterprise intelligence.

Data Leader for Emerging Technologies, transforming enterprises with latest trending AI/ML technologies.