MongoDB Atlas Just Made AI Retrieval Simpler: Embedding & Reranking API Tutorial

Learn more about the new release → https://mdb.link/G8rAMUfHJnA-embed-rerank Read more on Voyage AI here → https://mdb.link/G8rAMUfHJnA-voyage The next frontier for AI isn't simply more capable models—it’s better context. This video introduces the new Embedding and Reranking API on MongoDB Atlas, a service that brings Voyage AI’s state-of-the-art retrieval models directly into the Atlas ecosystem. Learn how to consolidate an AI retrieval stack by combining these new model APIs with Atlas Vector Search and Atlas databases. See what Atlas is capable of for free: https://mdb.link/YT-Atlas-Register 00:00:00 Introduction: Better Context for AI 00:00:20 Introducing the MongoDB Atlas Embedding & Reranking API 00:00:42 How to Manage Model API Keys in Atlas 00:01:04 Building a RAG App: Ingestion, Chunking & Indexing 00:02:51 Unifying AI Retrieval & Monitoring Usage Resources: MongoDB main YouTube channel: https://www.youtube.com/@MongoDB Website: https://mdb.link/MongoDBYT LinkedIn: https://www.linkedin.com/company/mongodbinc MongoDB Developer Blog: https://mdb.link/developerblogYT