--- title: MongoDB.local San Francisco 2026: Ship Production AI, Faster description: MongoDB announced several AI-focused capabilities at their San Francisco event: Voyage 4 embedding models (now GA) with improved performance, a new multimodal... canonical: https://daily.dev/posts/mongodb-local-san-francisco-2026-ship-production-ai-faster-nszwj6vqr twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: MongoDB.local San Francisco 2026: Ship Production AI, Faster | daily.dev og:description: MongoDB announced several AI-focused capabilities at their San Francisco event: Voyage 4 embedding models (now GA) with improved performance, a new multimodal... og:url: https://daily.dev/posts/mongodb-local-san-francisco-2026-ship-production-ai-faster-nszwj6vqr og:image: https://api.daily.dev/og/posts/NszWJ6VqR.png og:image:alt: MongoDB.local San Francisco 2026: Ship Production AI, Faster og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # MongoDB.local San Francisco 2026: Ship Production AI, Faster **[MongoDB](https://daily.dev/sources/mongo)** · 7 min read · 0 upvotes · 0 comments ## Summary MongoDB announced several AI-focused capabilities at their San Francisco event: Voyage 4 embedding models (now GA) with improved performance, a new multimodal model supporting video, Automated Embedding for MongoDB Community Edition to simplify vector generation, Lexical Prefilters for advanced text filtering in vector search, an intelligent assistant in MongoDB Compass for debugging and optimization, and mongot (the search engine) released under SSPL. These features aim to reduce friction between AI prototypes and production deployments by handling embedding generation, improving retrieval accuracy, and consolidating tools within MongoDB's platform. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [MongoDB targets AI’s retrieval problem](https://daily.dev/posts/mongodb-targets-ai-s-retrieval-problem-fdiya16um) · InfoWorld · 0 upvotes · 0 comments - [MongoDB Introduces Embedding and Reranking API on Atlas](https://daily.dev/posts/mongodb-introduces-embedding-and-reranking-api-on-atlas-ow0bpzewc) · InfoQ · 0 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#mongodb](https://daily.dev/tags/mongodb), [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search) [View this post on daily.dev](https://daily.dev/posts/mongodb-local-san-francisco-2026-ship-production-ai-faster-nszwj6vqr) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"MongoDB.local San Francisco 2026: Ship Production AI, Faster","url":"https://daily.dev/posts/mongodb-local-san-francisco-2026-ship-production-ai-faster-nszwj6vqr","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/mongodb-local-san-francisco-2026-ship-production-ai-faster-nszwj6vqr"},"datePublished":"2026-01-15T20:15:11.715Z","dateModified":"2026-01-15T20:15:34.408Z","description":"MongoDB announced several AI-focused capabilities at their San Francisco event: Voyage 4 embedding models (now GA) with improved performance, a new multimodal...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/5cf6a7e8f3500589369fdff97cde1550?_a=AQAEulh","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/5cf6a7e8f3500589369fdff97cde1550?_a=AQAEulh","isAccessibleForFree":true,"articleSection":"MongoDB","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"MongoDB","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/90cb2b5f385a4e56b48181293e6d12e5","url":"https://daily.dev/sources/mongo"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/mongodb-local-san-francisco-2026-ship-production-ai-faster-nszwj6vqr","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai,mongodb,rag,vector-search","timeRequired":"PT7M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"MongoDB","item":"https://daily.dev/sources/mongo"},{"@type":"ListItem","position":3,"name":"MongoDB.local San Francisco 2026: Ship Production AI, Faster"}]} ```