Blogsby GlyphOct 8
The Ground Beneath the Database
From attached disks to a shared, elastic foundation, the story of disaggregating MongoDB and turning a database you manage into one you consume.
MongoDB Engineering Blog the engineering blog of MongoDB: latest posts and feed
MongoDB · Engineering blog · < 1 a month · 12 posts since Apr 24, 2025
Sep 25
Same Query, Same Score: Consistent Ranking with StableTfl in Atlas Search
Suppose you run paginated search in your application, or a RAG pipeline where the top ten retrieved documents feed a model.
Apr 7
MongoDB Predictive Auto-Scaling: An Experiment
You can often predict a load spike before it arrives. Maybe it happens at the same time every day, or there’s always a spike at midnight on a Friday when you run a certain batch job.
Feb 27
Towards Model-based Verification of a Key-Value Storage Engine
In our previous post, we talked about our process of specifying MongoDB’s distributed transactions protocol and how it enabled novel analysis of its performance characteristics.
Jan 27
Formal Methods Beyond Correctness: Isolation & Permissiveness of Distributed Transactions in MongoDB
MongoDB has supported distributed, multi-document transactions since 2019, enabling ACID, cross-shard transactions at snapshot isolation.
Dec 18, 2025
Token-count-based Batching: Faster, Cheaper Embedding Inference for Queries
Embedding model inference often struggles with efficiency when serving large volumes of short requests, a common pattern in search, retrieval, and recommendation systems.
Nov 25, 2025
LEAF: Distillation of State‑of‑the‑Art Text Embedding Models
At MongoDB Research, we’re exploring how to make cutting‑edge AI models smaller, faster, and more flexible.
Nov 4, 2025
To Lock or Not: MongoDB’s Lock-Free B-Tree Unlocks Throughput
Realizing that I’ve been building storage engines for nearly two decades has led me to reflect on what’s changed. During that time, I’ve learned what it takes to build trust in my products.
Sep 25, 2025
Carrying Complexity, Delivering Agility
Resilience, intelligence, and simplicity: The pillars of MongoDB’s engineering vision for innovating at scale We’re relatively new to MongoDB, Ashish joined two years ago via the Granite acquisition after a decade-plus building Google’s...
Aug 6, 2025
Lower-Cost Vector Retrieval with Voyage AI’s Model Options
Vector search is often the first step in retrieval augmented generation (RAG) systems. In a previous post, we discussed the future of AI-powered search at MongoDB.
Jun 2, 2025
Conformance Checking at MongoDB: Testing That Our Code Matches Our TLA+ Specs
Some features mentioned below have been sunset since this paper was originally written. Visit our docs to learn more. At MongoDB, we design a lot of distributed algorithms, algorithms with lots of concurrency and complexity, and dire...
Apr 24, 2025
Rethinking Information Retrieval in MongoDB with Voyage AI
The future of AI-powered search The role of the modern database is evolving. AI-powered applications require more than just fast, scalable, and durable data management: they need highly accurate data retrieval and intelligent ranking...
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Storage engines, distributed systems, formal methods and performance at MongoDB.
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