Building Multimodal AI Agents From Scratch — Apoorva Joshi, MongoDB
Автор: AI Engineer
Загружено: 2025-06-27
Просмотров: 110852
In this hands-on workshop, you will build a multimodal AI agent capable of processing mixed-media content—from analyzing charts and diagrams to extracting insights from documents with embedded visuals. Using MongoDB as a vector database and memory store, and Google's Gemini for multimodal reasoning, you will gain hands-on experience with multimodal data processing pipelines and agent orchestration patterns by implementing core components directly, using good ol' Python.
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In this hands-on workshop, you will build a multimodal AI agent capable of processing mixed-media content—from analyzing charts and diagrams to extracting insights from documents with embedded visuals. Using MongoDB as a vector database and memory store, and Google's Gemini for multimodal reasoning, you will gain hands-on experience with multimodal data processing pipelines and agent orchestration patterns by implementing core components directly, using good ol' Python.
You will be provided with a GitHub repository consisting of learning materials and resources required to successfully execute the hands-on portions of the workshop.
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