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公式動画&関連する動画 [I Built an AI Agent that Searches Thousands of Autonomous Driving Videos in 2 Seconds]
Get the Code: github.com/mongodb-industry-solutions/manu-multimodal-event-explorer
The Multimodal Event Explorer uses AI and unified search to find 1-in-a-million autonomous driving scenarios (edge cases) in seconds, replacing manual filtering that used to take weeks. 1
Built on MongoDB Atlas for vector, full-text search, and metadata filtering, this application demonstrates a conversational AI agent that can execute complex search and comparison queries in plain English. 1
Watch the video for a full live demo and a breakdown of the architecture, data model, and hybrid search pipeline.
The full source code and setup instructions are open source and available on GitHub.
00:00:00 - Introduction & Tech Stack Overview
00:00:41 - The Challenge of Autonomous Driving Edge Cases
00:01:25 - System Architecture & The 3 Layers
00:02:21 - MongoDB Atlas Data Model & Document Structure
00:03:57 - Vector Compression via Scalar Quantization
00:04:17 - Live Demo: Hybrid Search & Filter Stacking
00:05:43 - Live Demo: Conversational AI Agent & Safety Workflows
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