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Building Multimodal AI Applications Using MongoDB and Voyage AI

Apoorva Joshi, Senior AI Developer Advocate at MongoDB, teaches you how to build a simple multimodal AI application using MongoDB and Voyage AI.
Apoorva Joshi
Apoorva Joshi

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As AI applications expand beyond text, the ability to work with image, video, and other modalities is becoming a must-have skill. Building effective multimodal systems requires not only the right models, but also the right infrastructure to store, retrieve, and serve diverse data types at scale.

In this code-along, Apoorva Joshi, a Senior AI Developer Advocate at MongoDB, will teach you how to build a simple multimodal AI application using MongoDB and Voyage AI. You’ll learn how to structure and query image and video data, apply retrieval techniques with Voyage AI, and connect everything in a functional pipeline. This session is ideal for data scientists and AI engineers looking to expand their application-building toolkit.

Key Takeaways:

  • Learn how to search and retrieve multimodal content using Voyage AI.
  • Understand how to use MongoDB to store and serve data for AI applications.
  • Build a simple, functional multimodal AI app from scratch.

Session Resources + Slides

Темы

Artificial IntelligenceAI AgentsGenerative AIMachine Learning and AI

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What is Multimodal AI?

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