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公式動画＆関連する動画 [Conde Nast: Scaling AI Recommendations with MongoDB Atlas Vector Search & Voyage AI]
Read more about Conde Nast & MongoDB: https://mdb.link/zfNic9wahek-condenast
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Learn how Conde Nast transitioned from complex, fragmented data pipelines to a unified, scalable AI platform. Facing the challenge of managing recommendations and search across 70+ websites, Conde Nast utilized MongoDB Atlas, Atlas Vector Search, and Voyage AI to streamline their infrastructure.
Discover how they eliminated "firefighting" for their development team and built a stable foundation for hybrid search, image search, and future AI initiatives.
Chapters:
00:00:00 The Challenge: Scaling Three Separate Pipelines
00:00:30 Building the AI Foundation with MongoDB Building Blocks
00:00:38 Implementing Voyage AI and Atlas Vector Search
00:00:54 Faster Time-to-Production for Developers
00:01:11 Improving User Engagement with Hybrid Search
00:01:25 Impact on Team Morale and Future AI Initiatives
Visit Mongodb.com → https://mdb.link/MongoDB
Read the MongoDB Blog → https://mdb.link/Blog
Read the Developer Blog → https://mdb.link/developerblog
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