Watch more of .local London 2026 → https://www.youtube.com/playlist?list=PL4RCxklHWZ9tH01MTlChYwUqN8Cm2tl2r Speakers: Parth Shaw, Director, Engineering, MongoDB Prakul Agarwal, Senior Product Manager, MongoDB Learn about Auto Embedding in Vector Search, announced today, a new MongoDB capability that lets you run AI-powered semantic search on text in MongoDB with plain natural-language queries, powered by the latest Voyage-4 series of embedding models. If you're building AI agents, RAG systems, or semantic search, come learn how Atlas removes the complexity so you can focus on your application, not your infrastructure. We'll demo the new index definition and query experience, and show how Auto Embedding handles the hardest parts of vector search — keeping data and embeddings in sync, model selection during indexing and querying, efficient batching for large datasets, error recovery, and rate limit management during indexing. We'll also walk through how to achieve an efficient tradeoff between cost and retrieval accuracy in vector search by leveraging different models, Matryoshka Representation Learning dimensions, and various quantization options. 00:00:00 - Introduction & Speaker Welcomes 00:01:38 - The Shift from Keyword Search to Semantic Search & AI Agents 00:03:56 - 4 Major Roadblocks in Production Vector Search Pipelines 00:08:48 - Live Demo: Building an Auto-Embedding Index in MongoDB Atlas 00:11:47 - Testing Queries & Swapping Embedding Models Under the Hood 00:14:04 - Deep Dive: How Auto-Embeddings and Voyage AI Work Together 00:17:19 - System Architecture, Dynamic Batching & Unbounded Throughput 00:21:18 - Seamless Model Upgrades & Slashing Storage Costs with Quantization 00:23:40 - Enterprise Security, Compliance Controls & Observability Subscribe to the MongoDB for Developers YouTube Channel: https://www.youtube.com/@MongoDBDevelopers?sub_confirmation=1 Sign-up for a free cluster → https://www.mongodb.com/cloud/atlas/register Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog MongoDB for Developers YouTube Channel → https://www.youtube.com/@MongoDBDevelopers

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