1-Core Free Forever • Direct Per-Core Licensing • 1-Click AWS & GCP Deployment

Sub-2ms Pre-Filtered
Vector Search at Planet Scale.

MassEngine is a next-generation kNN vector database built from the ground up for multi-tenant AI & RAG systems. Eliminate selective-filter latency cliffs while cutting cluster memory footprints by 7×.

Create Account & Launch DB → Launch 20M-Vector Live Demo (3 Setups) →
36.3×
Higher Filtered QPS
6,993 vs. 193 QPS on OpenSearch 3.3 at 5% filter
0.91 ms
0.1% Selective Latency
5,387 QPS across 2M × 1024-d Wikipedia vectors
4.88 GiB
RAM per Replicated Node
7.0× less than 34.1 GiB on OpenSearch 3.3 HNSW
16.7×
Faster Index Build
27.7s (72k docs/s) vs. 462.3s on 2M vectors (RF=2)

No Filter Cliffs. No Memory Bloat.

Evaluated on an identical 2-node replicated cluster (RF=2, 8 Shards, 2,000,000 × 1024-d English Wikipedia BAAI/bge-m3 embeddings, 10 concurrent clients). Select a filter selectivity below to compare throughput, latency, and memory:

Dataset: 2M × 1024-d Wikipedia • 8 Shards • RF=2
MassEngine Cloud 14.2× faster
5,849.0 QPS • 1.52 ms • Recall@10: 0.955 • RAM: 4.88 GiB/node
OpenSearch 3.3 (HNSW)
412.7 QPS (17.00 ms) • Recall@10: 0.996 • RAM: 34.06 GiB/node

Everything Modern RAG Needs in One Engine

Replace fragile multi-system pipelines with a single, deterministic search layer.

01

True Multi-Tenant Isolation

Host thousands of customer workspaces on shared infrastructure with zero noisy-neighbor degradation, scoped RBAC API keys, per-tenant QoS rate limits, and instant GDPR tenant purge.

02

High-Throughput Reads & Writes

Ingest over 72,000 vectors/sec with instant availability while sustaining up to 6,993 filtered QPS and sub-millisecond query latency under concurrent production load.

03

Rich Metadata Pre-Filtering

Filter on arbitrary JSON attributes using expressive operators ($eq, $ne, $gte, $lte, $in, $contains), date ranges, and category bitmaps with zero recall penalty.

04

In-Place Metadata Patching

Update document permissions, pricing, tags, or categories in place via PATCH without re-computing or re-uploading expensive high-dimensional embeddings.

05

Flexible Dimension Support

Native support for any embedding model dimension—from compact 128-d and 384-d models up to 1536-d and 3072-d frontier embeddings.

06

1-Click AWS & GCP Clusters

Start free with a 1-Core Developer License (up to 1M vectors), or purchase a signed Ed25519 per-core license (meli_...) and launch a multi-node HA cluster directly inside your own AWS or GCP VPC in 1 click.

Clean REST & SDK Interface

Simple, predictable JSON APIs and typed SDKs for Go, Python, and TypeScript.

POST https://api.massengine.com/v1/search
Authorization: Bearer mk_live_9f8a7b6c...
Content-Type: application/json

{
  "vector": [0.021, -0.044, 0.089, "... 1024 dims"],
  "k": 10,
  "nprobe": 16,
  "rerank_pool": 64,
  "min_score": 0.75,
  "metadata_filter": {
    "department": { "$in": ["security", "legal"] },
    "clearance_level": { "$gte": 2 },
    "tags": { "$contains": "approved" }
  }
}

Same 20M Records. 3 Live Hardware Setups.

See how MassEngine serves the exact same 20,000,000 English Wikipedia passages (1024-d embeddings, 83.46 GiB logical corpus across 8 shards) across three distinct live hardware profiles with 100% Top-K recall parity.

2-Node High-End In-Memory

All 8 shards (RF=2) pinned in high-bandwidth RAM for ultra-low tail latency under heavy concurrent load.

Topology 2 Nodes • 8 Shards (RF=2)
Storage Tier 100% In-Memory
Live Query Latency ~5.4 ms
Query Setup 1 Live →

2-Node High-End NVMe

Identical 20M-record dataset served on a strict memory cap with zero-copy mmap NVMe segment tiering.

Topology 2 Nodes • 8 Shards (RF=2)
Storage Tier Direct NVMe (Memory-Capped)
Live Query Latency Live NVMe
Query Setup 2 Live →

4-Node Low-End NVMe

20,000,000 vectors distributed across 4 lightweight nodes (1 vCPU / 6.8 GiB RAM each) backed by NVMe storage.

Topology 4 Nodes • 8 Shards (RF=1)
Storage Tier Low-End NVMe (~1.2 GiB RAM/node)
Live Query Latency Live NVMe
Query Setup 3 Live →
⚡ Launch Interactive 20M-Vector Demo & Live Telemetry Portal →

1-Core Free Forever. Scale on Your Own AWS, GCP, or Bare-Metal Instances.

Deploy MassEngine on your choice of instance type and cluster size in AWS, Google Cloud, Azure, or Bare-Metal Linux with an Ed25519-signed per-core license key (meli_...)—with 2 TB of NVMe storage included per licensed vCPU and zero cloud data markup. Testing or prototyping? Your first core is free forever.

1-Core Developer — $0 / mo

Instant activation in the Cloud Console or 1-Click launch on an AWS/GCP Free Tier VM. Ideal for development, evaluation, and workloads up to 1,000,000 vectors.

Licensed Compute 1 vCPU Core (Standalone Node)
Included Vector Capacity Up to 1,000,000 × 1024-d Vectors
Included NVMe Allowance 2 TB Local NVMe Storage
Sustained Throughput Up to 100 Filtered QPS
Core Enforcement OS CPU Affinity + GOMAXPROCS(1)
Activate Free 1-Core License →

Production Cluster — $99 / vCPU / mo

Purchase a signed Ed25519 per-core license key (meli_...) in seconds via Square Checkout and bring up a multi-node RF=2 HA cluster in your own AWS, GCP, or bare-metal environment in 1 click.

Choice of Instance & Cluster Size Any EC2 (i4i, c7i), GCE (c3d, n2d), or Bare Metal
Included NVMe Storage 2 TB NVMe Included per vCPU
Cold NVMe Tier Expansion +$15 / TB / mo above 2 TB/core
High Availability & Scale 2–64+ Nodes (RF=2 Quorum)
License Activation Instant Ed25519 Signed Key (meli_...)

Enterprise Fleet — $69 / vCPU / mo

Automatic 30% volume discount for 128+ vCPU deployments, multi-region replication, and air-gapped VPCs using Ed25519-signed offline license keys (meli_...).

Volume Discount (128+ vCPUs) 30% Off ($69 / vCPU / mo)
Data Residency 100% Inside Your AWS / GCP / On-Prem VPC
Scale & Multi-Tenancy 300B+ Vectors • Isolated Databases
Offline / Air-Gapped Verification Signed Per-Core Keys (meli_...)
Procurement Channel Self-Serve Square Checkout or Invoice
Configure Volume Fleet License →

Contact Enterprise Engineering

Planning an In-VPC deployment or 100M+ vector cluster? Reach out below—or create a self-service Cloud Console account to start immediately.

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