Pricing

Simple pricing

Priced per million vectors stored. No per-seat charge, no charge for queries.

Free tier included No credit card required
Developer
$0 /month

For prototypes and side projects

  • 1M vectors, 1 index
  • Shared region, 50 queries/sec
  • Hybrid search and filters
  • Community support
Start free
Scale Most teams
$499 /month

For teams with production traffic

  • 100M vectors included, then $0.08 per million
  • Dedicated region, 5,000 queries/sec
  • 24 ms p99 and 99% recall@10 targets
  • Weekly recall report
  • 99.9% uptime SLA, shared Slack channel
Start a trial
Enterprise
Custom

For regulated and very large indexes

  • Everything in Scale
  • Billions of vectors, no ceiling
  • VPC peering or run-in-your-account
  • 99.99% uptime SLA
  • Named engineer and data residency
  • Audit logs and SSO
Talk to an engineer
[ comparison ]

Compare plans

Feature
Developer
Scale
Enterprise
Vectors included
1M
100M
Unmetered
Queries per second
50
5,000
Negotiated
p99 latency target
Best effort
24 ms
Contracted
Weekly recall report
Dedicated region
VPC peering / BYOC
Named engineer
[ faq ]

Frequently Asked Questions

How is a vector counted?

By what is stored, measured hourly and averaged over the month. Dimensions do not change the price; a 384-dimension vector and a 3,072-dimension vector cost the same. Queries, filters and rebuilds are free.

What happens if you miss the latency target?

The weekly report shows the measured p99 on your own traffic. Two consecutive weeks above the target credits that month back. We would rather refund than argue about a benchmark.

Can we bring our own embedding model?

Yes. Send vectors you have already computed, or point us at a model endpoint and we will embed on write. Nodeform stores and searches; it does not lock you to a model.

Can we run it in our own account?

On Enterprise, yes. The data plane runs inside your VPC on AWS, GCP or Azure and we operate it from the outside. Same API, your network, your keys.

[ get started ]

Ready to stop running
your own vector index?

Read the quickstart, or talk to the engineer who will run your index.