Search & Vector Search for Use with Enterprise Server | MongoDB.local NYC 2025

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In this session, you’ll discover how to unlock the full power of MongoDB Search and Vector Search on Enterprise Server. Learn how to seamlessly build search-powered applications on-prem, with data automatically and dynamically synced from your database to Search and Vector Search indexes. Plus, see how a single, unified aggregation pipeline streamlines both database and search operations — making it easier than ever to deliver intelligent, high-performance experiences.

Customer Spotlight: Within this 45-minute session, Mike Holland the VP, Content Platform at Arc XP at The Washington Post will join Rodrigo Leal for a 15-minute fireside chat. Together, they’ll share real solutions, success stories, and the power of our partnership—highlighting how MongoDB provided the right solutions to drive impact.

Please note, this fireside chat may also touch on additional MongoDB features, products, or solutions beyond the session’s primary topic.

Chapters:
00:00 - Introduction
00:34 - What is Search on Enterprise Server?
01:08 - Session Agenda
01:55 - The Evolution of MongoDB & Vector Search
02:32 - Unifying the MongoDB Developer Data Platform
05:02 - Key Pain Points Addressed by On-Premise Search
06:18 - Benefits of Self-Managed Vector Search
08:26 - How to Get Started: Prerequisites
09:29 - Step 2: Deploy Search Nodes & Create Indexes
10:43 - Step 3: Querying Your Data
12:05 - Architecture Overview
13:32 - Demo: Retail App with Atlas vs. Enterprise Server
15:32 - Demo: Switching Connection from Atlas to Local
17:39 - Demo: Environment Setup with Kubernetes
20:08 - Real-World Use Cases: Retail, Finance & Healthcare
24:21 - Fireside Chat with Mike Holland (The Washington Post)
25:11 - The Washington Post's Arc XP Platform
27:06 - How Arc XP Uses AI & Vector Search
30:26 - Partnering with the MongoDB Ecosystem
32:31 - Scaling a Global Media Platform with MongoDB
34:26 - The Future of News: Hyper-Personalization
37:58 - Conclusion & Outro

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Read the MongoDB Blog → https://mdb.link/Blog
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