Dwight Merriman

MongoDB Contributer; Co-founder MongoDB Inc. Views my own. Check out the @mongodb twitter handle too.

[Dwight Merriman @dmerr]

https://t.co/5rsbc1jyOp

[Dwight Merriman @dmerr]

MongoDB has released an open weight model (nano) in the voyage-4 series of embedding models. It is on huggingface (see follow-on post). Apache 2. This is an excellent way to quickly do a prototype of RAG type things or AI style vector search.
Note you do not need to use MongoDB at all to use this. (Although I would. It could be a free version like the community edition locally or Atlas free tier in the cloud.)

[Voyage AI by MongoDB @VoyageAI]

The era of embedding models is evolving. 🚀

With voyage-4-large, we’ve moved to Mixture of Experts (MoE) to shatter the scaling ceiling.

The results: ✅ Massive drop in inference cost and latency ✅ New frontier for retrieval accuracy.

Curious about how we implement MoE embeddings?

Read the full technical breakdown of how we optimized design choices to push the Pareto frontier: https://t.co/HmfYoCoUxH

[Voyage AI by MongoDB @VoyageAI]

📢 ICYMI: We recently released the Voyage 4 model family.

Voyage 4 features an industry-first shared embedding space, eliminating the need to re-index your data when switching between models in the series.

This breakthrough is designed to solve the trade-off between frontier-level accuracy and production efficiency.

[MongoDB @MongoDB]

Forget genres - what if you could search for a movie like this:

“Something uplifting after a rough day”
“A film that’ll make me cry”

In this new tutorial with @huggingface, Arek Borucki takes you through how to build a mood-based recommendation engine using voyage-4-nano and MongoDB Atlas Vector Search.

Give it a try! https://t.co/cCwX8jZphe

[MongoDB @MongoDB]

The Embedding and Reranking API on MongoDB Atlas is officially in Public Preview!

@VoyageAI frontier embedding and reranking models, available as a simple standalone API. Use it with any stack, or combine it with Atlas Vector Search.

What you get:
• Access the new Voyage 4 series for better context and reduced hallucinations.
• Your data, vector search, and models all under one control plane.
• Simple token-based pricing + 200M free tokens to start building.

Build end-to-end AI retrieval in Atlas, from data storage and vector search to embeddings and reranking

Read the full announcement: https://t.co/kx2VSFH5bO

[MongoDB @MongoDB]

Announcing our 2025 winners of MongoDB’s prestigious William Zola Award for Community Excellence: Arek Borucki and Kai Yong Lai!

Each year, this award recognizes an outstanding community member who embodies the legacy of William Zola, a Lead Technical Services Engineer at MongoDB who passed away in 2014.

Learn more about how our award winners have made an impact on the MongoDB community: https://t.co/oNEVg7wxOq

[MongoDB @MongoDB]

Behind every Vogue article and GQ story is a massive data challenge.

Go inside @CondeNast’s move to MongoDB, and how it changed the way they deliver content at a global scale. https://t.co/630539gRvC

[Dwight Merriman @dmerr]

RT @MongoDB: From launching @coinbase's new Base App to fast-forwarding developer innovation with MongoDB, Chintan Turakhia, Senior Directo…

[Voyage AI by MongoDB @VoyageAI]

voyage-3.5 and voyage-3.5-lite are available today! The first 200 million tokens are free. Get all the details in our latest blog: https://t.co/3lmVCNK7OT

[Voyage AI by MongoDB @VoyageAI]

We've been building the next leap in retrieval accuracy and efficiency.

Tomorrow, we make it available for everyone.

See you here at 10:00 am PT for the announcements 🚀

Watch the livestream: https://t.co/pfGg3hjkyo

[MongoDB @MongoDB]

This week at @awscloud re:Invent, we were awarded the Global Technology Partner of the Year award!

Learn more: https://t.co/MQ1cvhekw1

[Dwight Merriman @dmerr]

next token prediction painting itself into a corner? :-)

embarrassingly stupid details redacted.

[MongoDB @MongoDB]

For the fourth consecutive year, MongoDB has been named a Leader in the @Gartner_inc® Magic Quadrant™ for Cloud Database Management Systems (CDBMS)!

To learn more about this recognition and how we believe it reflects our commitment to customer innovation, read the full report here: https://t.co/6XINOdJ7zb

[MongoDB @MongoDB]

MongoDB’s B+tree was engineered lock-free for both reads and writes. Results:
⚡ 50% throughput improvement for reads
⚡ 4x gains for high-contention updates

[Dev Ittycheria @dittycheria]

I have some news to share. After 11 incredible years, I’ve decided to retire as CEO of MongoDB. This was not an easy decision, but it’s the right time for a thoughtful transition.

[Dwight Merriman @dmerr]

the internet is not a bubble, yet there was an internet bubble.

[MongoDB @MongoDB]

Ever wish you could search encrypted data without decrypting it first? 🔐

At MongoDB.local London, we chatted with Joel Odom, Staff Product Manager, Security at MongoDB about how Queryable Encryption makes it possible.

Learn more about Queryable Encryption 👉 https://t.co/P0oFqWinRV

[Voyage AI by MongoDB @VoyageAI]

To evaluate embeddings and retrieval, we need more benchmarks beyond MTEB that are less vulnerable to overfitting. That’s why RTEB was just beta-launched!

⚖️ Both open and held-out datasets to prevent overfitting to evaluation sets.
🌍 Realistic datasets from critical enterprise domains like law, healthcare, code, and finance.
🔎 Only focus on retrieval applications with relevant large-scale datasets.

Check out the blog and leaderboard on @huggingface and join the community in building a stronger, more reliable benchmark.

Blog: https://t.co/T6ZcROuVCg

[MongoDB @MongoDB]

Queryable Encryption with prefix, suffix, and substring query support is now in Public Preview! 🔐

With MongoDB 8.2, we’ve expanded our industry-first encryption-in-use technology. Now, in addition to equality and range queries, you can securely run prefix, suffix, and substring queries directly on encrypted data.

Why this matters:
• Keeps sensitive data encrypted at rest, in transit, and in use
• Eliminates risky workarounds like leaving fields unencrypted or using external indexes
• Simplifies compliance with regulations like GDPR, HIPAA, and PCI-DSS
• Available at no extra cost across Atlas, Enterprise Advanced, and Community Edition

Listen to the #MongoDBlocal keynote announcement with Osmar Olivo, Senior Director, Database Product Management, or learn more on our blog: https://t.co/M66jfslOm7

[MongoDB @MongoDB]

We’re excited to announce the integration of MongoDB Atlas with the MCP Toolbox for Databases!

MongoDB Atlas + @googlecloud's MCP Toolbox give developers the speed, flexibility, and scalability to build the next wave of AI-powered applications.

👉 Learn how to get started: https://t.co/6ViwPs4t7e