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Qdrant Serverless

We're bringing serverless to Qdrant Cloud. No clusters, no capacity planning, no scaling to manage: create a collection, load vectors, and search. Same Qdrant API. Tell us about your workload and we'll reach out.

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What Is Qdrant Serverless?

Serverless vector search removes the cluster from the equation.

You don't choose node sizes, plan capacity, or manage scaling. Instead, just create a collection, send vectors, and search. Pricing is based on usage. It runs on the same engine and the same API as other Qdrant deployment, including filtered search, hybrid search, and multivector support.

When to Use It

Serverless is built for workloads where provisioned capacity isn't the best fit.

01
Multitenant AI Applications

SaaS products where each customer has their own set of vectors that only they can access. Thousands of small, isolated tenants without running a cluster sized for their sum.

02
Spiky or Idle Workloads

Applications with bursty, unpredictable, or infrequent traffic. Internal tools, agent memory, and long-tail features that don't justify dedicated compute.

03
Fast Starts, Small Footprints

Prototypes and early products that need production-grade vector search from day one without capacity planning. Start small, grow without re-architecting.

When Not to Use It

X
Sustained, Latency-Critical Traffic

If your workload runs a sustained high query volume with strict latency requirements, a dedicated cluster gives you consistent, predictable performance and is usually more cost-effective at constant utilization.

X
Non-Multitenant Use Case

If you have a non-multitenant use case or small set of very large tenants, it may not be a good fit.

X
Full Control or Network Isolation

If you need full infrastructure control or network isolation, look at Qdrant Cloud (dedicated), Hybrid Cloud or Private Cloud.

Info

The right tool depends on your workload, which is what the waitlist form asks about.

Join the Waitlist

FAQs

What is serverless vector search?
A deployment model where you don't provision or manage clusters. You send vectors and queries; capacity scales with your workload, and you pay based on usage.
Will it support the full Qdrant API?
Yes. Serverless runs the same Qdrant engine as every other deployment, including filtered search, hybrid search, and multivector support.
When will it be available?
We're rolling out access in stages, starting with a limited group from the waitlist. Join the waitlist and tell us about your workload to be considered for early access.
How will pricing work?
We'll publish details soon.