# Simplify your application stack

Canonical: https://brew.new/templates/mongodb/simplify-your-application-stack

Brand: mongodb.com
Category: newsletter

![Preview of Simplify your application stack](https://cdn.brew.new/email-preview-1a2495de72f571a0-tracking_r57h90dt4s76qyqj5enefwpd3h8f00bv-1790292090552.png)

## Email content

Hi there,

Make Atlas the foundation of your data layer. These native features let you build smarter, event-driven experiences directly on your data without managing separate infrastructure.

Build in Atlas

Native capabilities for Search, AI, and Stream Processing

MongoDB Search: Build rich, fast, full-text search experiences (like auto-complete or faceted search) directly on your data.

MongoDB Vector Search: Power modern AI applications by storing and querying vector embeddings to enable semantic search, recommendations, and RAG.

Embedding and Reranking API: Access Voyage AI's state-of-the-art models through a native, serverless API, designed for fast, accurate, and scalable retrieval. Includes 200M free tokens on the latest models.

Atlas Stream Processing: Build scalable event-driven applications that react and respond in near real-time by processing streams from sources like Apache Kafka, all within Atlas.

Agent Skills: Provide expert instructions that apply MongoDB best practices to AI coding agents. Use the Search and AI Recommendations and Atlas Stream Processing skills to design Atlas Search indexes, power AI-driven recommendations, and build event-driven pipelines on your Atlas data faster. Install the plugin in your preferred AI tool (like Cursor, Claude Code, Gemini CLI, or VS Code).

Try Search & AI

Tui Musement on consolidating database layers, search, and Voyage AI embeddings:

"MongoDB Atlas is the silver bullet. It’s a solution for your database, your search, and now it’s providing AI tools. It’s taken us beyond operational transformation to a solution that we’re rolling out everywhere.”

— Muhammad Ali Khan, Group Head of Technology, TUI Musement

Lendi Group on avoiding standalone vector databases for advanced AI features:

"A deciding factor in selecting MongoDB was its native support for the data types and workloads required by advanced AI applications. We knew that integrating AI would require a vector database, and MongoDB’s native vector search capabilities within Atlas help us massively simplify our architecture.”

— Devesh Maheshwari, CTO

FOLLOW FOR MORE

LinkedIn Twitter MongoDB Docs Page Youtube Reddit Stack Overflow

Copyright © 2026 MongoDB, All rights reserved.

1633 Broadway Floor 38, New York, NY 10019

view in browser or unsubscribe

[Open and remix this design](https://brew.new/templates/mongodb/simplify-your-application-stack)

[Browse email designs](https://brew.new/browse/templates)