The Next Era of Semantic Search: Auto Embedding in Vector Search
Presenters MongoDB Team Source MongoDB.local San Francisco 2026 MongoDB’s Automated Embedding: Revolutionizing Search for the AI Era 🚀 The way we search for information is no longer just about typing in keywords. We’re moving towards a future where search understands intent, delivering richer, more relevant results that power everything from smarter e-commerce experiences to the memory of AI agents and the intelligence behind Retrieval Augmented Generation (RAG) for Large Language Models (LLMs). But let’s be honest, building these cutting-edge AI-powered search solutions has been a headache. We’re talking about a steep learning curve, tricky integrations with external embedding models, keeping data and its vector representations in sync, and the production-scale chaos of managing task queues, retries, and monitoring. ...