Using Vector Databases For Multimodal Search And Retrieval Augmented Generation

May 24, 2026
Media Summary: Ready to become a certified watsonx AI Assistant Engineer? Register now and Ready to become a certified Qiskit Developer? Register now and Multi-modality elevates the capabilities of neural network models to a whole new level. By leveraging contrastive learning and ...

Using Vector Databases For Multimodal Search And Retrieval Augmented Generation - Detailed Analysis & Overview

Ready to become a certified watsonx AI Assistant Engineer? Register now and Ready to become a certified Qiskit Developer? Register now and Multi-modality elevates the capabilities of neural network models to a whole new level. By leveraging contrastive learning and ... Ready to become a certified GenAI engineer? Register now and The saying ""a picture is worth a thousand words"" encapsulates the immense potential of visual data. But most ... Check out MongoDB here:- AI depends on fluid, instantly accessible data, not fragmented silos.

This talk was recorded at NDC London in London, England. Attend ... Try RAG Hands-On Labs for Free - Learn how RAG ( In the evolving landscape of AI and information

Photo Gallery

What is Multimodal RAG? Unlocking LLMs with Vector Databases
Using Vector Databases for Multimodal Search and Retrieval Augmented Generation
What is a Vector Database? Powering Semantic Search & AI Applications
Vector Databases simply explained! (Embeddings & Indexes)
Multimodal Retrieval-Augmented Generation (RAG) with Vector Database
Vector Search RAG Tutorial – Combine Your Data with LLMs with Advanced Search
How to use Retrieval Augmented Generation (RAG)
What is Retrieval-Augmented Generation (RAG)?
Intro to multimodal RAG systems
How to build Multimodal Retrieval-Augmented Generation (RAG) with Gemini
Build Advanced Retrieval-Augmented Generation (RAG) with MongoDB Vector Search
Using Vector Databases for Multimodal Embeddings and Search - Zain Hasan - NDC London 2024

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