MongoLeaf .next 2026 is here. AI-native search, queryable encryption, and Atlas Vector v2 — all in one keynote. Watch the keynote →

— AI-Native Data Platform · 2026

# One data platform.
Unlimited AI potential.

A document database, vector search, and stream processing — unified behind one query language. Power the next generation of AI applications without stitching together half a dozen services.

Try Free Talk to an expert
aggregate.js result.json

    // Find product reviews semantically
    // similar to the user's query.
    const results = await db
      .collection("reviews")
      .aggregate([
        {
          "$vectorSearch": {
            index: "plot_embedding_idx",
            path: "embedding",
            queryVector: embed(query),
            numCandidates: 400,
            limit: 5
          }
        },
        {
          "$project": {
            title: 1,
            score: { "$meta": "vectorSearchScore" }
          }
        }
      ])
      .toArray();

▸ db.reviews.aggregate(…)
title:"Quiet sturdy chair…"
score:0.9412
title:"Comfortable WFH pick"
score:0.9088
title:"Worth every dollar"
score:0.8741
● 200 OK · 5 docs 42 ms
Atlas Database

#### Multi-cloud document DB

The same database across AWS, GCP, and Azure — with cross-cloud replication built in.

Atlas Vector Search

#### Vector queries, native

Store embeddings next to your documents. Query them with the same aggregation pipeline.

Atlas Stream

#### Streaming for documents

Kafka-compatible streams that land in your collections — without the cross-system glue.

Customize your deployment

## Three ways to run MongoLeaf.

Cloud-managed, self-hosted, or air-gapped on-prem — every deployment runs the same query language and the same SDKs.

● Most popular

### Atlas (Cloud)

Fully managed across AWS, GCP, and Azure. Autoscaling, point-in-time recovery, and queryable encryption — without the ops team.

- Multi-cloud, multi-region
- Autoscaling storage + compute
- Vector + stream built in

Open source

### Community Edition

The source-available core. Run MongoLeaf on your own hardware, in your own VPC, with the developer tools we use ourselves.

- Document model + replication
- Compass GUI + mongosh
- Community forum support

Enterprise

### Enterprise Advanced

Air-gapped, FIPS-compliant, and certified for the most demanding workloads. Run anywhere, including disconnected environments.

- Air-gapped deployments
- LDAP / Kerberos / FIPS 140-2
- 24×7 enterprise support

Loved by builders

## A database the way you think.

Documents that map to objects. Indexes that learn your queries. SDKs in every language you care about. MongoLeaf is the database engineers actually want to write against.

#### Document model

Objects in your code map 1:1 to documents in the database. No ORM, no join hell, no impedance mismatch.

#### Vector search

Semantic search lives inside the same aggregation pipeline as your filters. No separate vector store to operate.

#### Global replication

Three-node replica sets, zone-aware sharding, and read preferences that let you push reads to the closest region.

#### Queryable encryption

Encrypt sensitive fields client-side and still run equality and range queries on the encrypted ciphertext.

AI use case

## Build retrieval-augmented apps without a second database.

Embeddings live next to the documents they describe. One query language. One operational footprint. One source of truth.

### From embedding to answer in one aggregation.

Run vector search, then chain a $project, $lookup, and $match — all in the same pipeline. The hard part of RAG isn't the embeddings; it's keeping them in sync. MongoLeaf moves that problem into the database.

- HNSW-indexed vector search with metadata pre-filtering
- Auto-embedding via the LLM provider of your choice
- Re-rank inside the pipeline — no extra round-trip

Read the RAG guide
▸ shell db.products.aggregate connected to atlas-prod

    // Hybrid: vector + metadata + rerank
    [
      {
        "$vectorSearch": {
          index: "product_emb_v2",
          path: "embedding",
          queryVector: embed(query),
          filter: { in_stock: true, price: { $lt: 200 } },
          numCandidates: 400,
          limit: 20
        }
      },
      {
        "$lookup": {
          from: "reviews",
          localField: "_id",
          foreignField: "product_id",
          as: "reviews"
        }
      },
      {
        "$project": {
          name: 1,
          score: { "$meta": "vectorSearchScore" },
          avg_rating: { "$avg": "$reviews.rating" }
        }
      }
    ]

MongoLeaf University

## Learn the platform. Certify your skills.

Free, self-paced courses taught by the engineers who built the product. Certify when you're ready.

Database & Security

#### MongoLeaf for SQL Developers

You know JOINs. Now learn $lookup. A 4-hour bridge for engineers coming from Postgres or MySQL.

4h · 6 lessons● Beginner
Free Get started →
Search

#### Atlas Vector Search Essentials

Build a semantic search index from scratch. Includes a free Atlas cluster for the duration of the course.

6h · 8 lessons● Intermediate
Free Get started →
Atlas & Cloud

#### Multi-Region Atlas Deployments

Design read-preference strategies that route queries to the nearest replica without sacrificing consistency.

3h · 5 lessons● Advanced
Free Get started →
AI

#### RAG with MongoLeaf and LangChain

Ship a working retrieval-augmented chatbot. Embedding pipeline, hybrid search, rerank, eval harness — all of it.

8h · 10 lessons● Intermediate
Free Get started →
Aggregation

#### Aggregation Pipeline Masterclass

$match, $lookup, $group, $bucket, $facet — the seven stages you'll use in 95% of your queries.

5h · 7 lessons● Intermediate
Free Get started →
Database & Security

#### Queryable Encryption in Practice

Encrypt sensitive fields client-side and still run equality + range queries against the ciphertext.

2h · 4 lessons● Advanced
Free Get started →
Pricing

## Start free. Scale when ready.

A free forever tier for evaluation. Pay-as-you-go credit beyond that. No seat minimums, no procurement gates until you genuinely need them.

### Free

$0

For evaluation, prototypes, and personal projects. Free forever — no credit card required.

- 512 MB shared storage
- Shared compute (M0)
- Atlas Vector Search
- Community support

Get started free
★ Most popular

### Flex

$0.012/hr · pay-as-you-go

Right-sized for production workloads. Pay for the compute and storage you actually use.

- Up to 5 GB storage included
- Auto-scaling compute
- Point-in-time recovery (7d)
- Email + chat support

Choose Flex

### Dedicated

$0.08/hr · starting

Isolated compute, customizable hardware, and the controls enterprise procurement teams expect.

- Isolated M10+ compute
- VPC peering + private link
- SOC 2 · HIPAA · ISO 27001
- 24×7 priority support

Choose Dedicated
Feature
Free
Flex
Dedicated
Storage & Compute
Storage
512 MB
Up to 5 GB
10 GB → 4 TB+
Dedicated CPU
—
—
✓
Auto-scaling
—
✓
✓
Security
Queryable encryption
✓
✓
✓
VPC peering
—
—
✓
Private endpoints
—
—
✓
Backup & Recovery
Daily backups
—
✓
✓
Point-in-time recovery
—
7 days
72 hours continuous
Support
Response time
Community
< 24h
< 1h · 24×7

## Ready when you are.

Spin up a free Atlas cluster in under a minute. No credit card. No expiration. The same database the largest teams in the world run in production.

Try Free Talk to sales
Design system

## Bright green on deep teal. The whole story.

Source: DESIGN.md. Dual-mode identity. Pill CTAs (r-full). 12px rounded cards. 3-tier pricing with mint-bordered featured tier.

### Color

Brand — the unmistakable signal

brand-green
#00ed64 · primary CTA
primary-deep
#00b545 · pressed
primary-pressed
#008c34
brand-green-dark
#00684a · links
brand-green-mid
#00a35c
brand-green-soft
#c3f0d2 · success bg

Teal — the dark canvas

brand-teal-deep
#001e2b · hero + footer
brand-teal
#003d4f
brand-teal-mid
#00684a · platform card
canvas-dark
#001e2b · code blocks
hairline-dark
#1c2d38
surface-feature
#e3fcef · featured tier

Category accents — course tags ONLY, never system colors

accent-purple
#7b3ff2 · database & security
accent-orange
#fa6e39 · search
accent-pink
#f06bb8 · aggregation
accent-blue
#3d4f9f · atlas & cloud

Ink ladder — text on light surfaces

ink
#001e2b · headlines + body
charcoal
#1c2d38
slate
#3d4f5b · secondary
steel
#5c6c7a · tertiary
stone
#7c8c9a
muted
#a8b3bc · disabled

### Typography

Euclid Circular A is the contemporary geometric brand face. Inter is the open-source substitute used here. Source Code Pro for every code mockup (JetBrains Mono sub). Weight 500 across display; weight 600 reserved for buttons and small emphasis.

hero-display 72px · 500 · 1.10 · -1.5px One data platform.
display-lg 56px · 500 · 1.15 · -1px Section opener
heading-1 48px · 500 · 1.20 · -0.5px Page-level headline
heading-2 36px · 500 · 1.25 · -0.5px Subsection headline
heading-3 28px · 500 · 1.30 · 0 Card title
heading-5 18px · 600 · 1.40 · 0 FAQ question or small card
body-md 16px · 400 · 1.55 · 0 Primary body text — generous leading for documentation readability.
button-md 14px · 600 · 1.30 · 0 Try Free
micro-uppercase 11px · 600 · 1.40 · 1px SECTION EYEBROW · CATEGORY TAG
code-md 14px · 400 · 1.55 · 0 · mono db.products.aggregate([ { $vectorSearch: … } ])

### Radius

Every CTA is a pill (r-full). Every card is r-lg (12px). Course category tags use r-sm (6px) — the only sharp-cornered surface in the system.

xs
4px
sm
6px · badges
md
8px · inputs
lg
12px · cards
xl
16px
xxl
24px
full
9999px · pills

### Components

Buttons on white canvas

button-primary button-secondary button-ghost button-link · green

Buttons on deep-teal hero band

button-on-dark button-secondary-on-dark

Inputs — focus is a 2px green-dark ring

text-input · default
text-input · focused

Cards — base / featured / dark

##### card-base · 12px radius

White canvas + 1px hairline. The default container. Flat by default — no shadows on documentation surfaces.

##### pricing-card-featured

Mint surface + 2px brand-green border. The signature featured tier — never green text on green.

##### card-feature-dark

Deep teal fill for product showcase cards on the hero band. White text, no border.

Badges & tags — category palette

badge-green ● badge-green-soft ★ badge-popular database & security search atlas & cloud aggregation

Tabs — pill style (pricing)

pill-tab-active pill-tab Enterprise Advanced
View DESIGN.md ↗