Pure usage pricing. Nothing else.
No clusters. No provisioning. No idle cost, ever.
Start for free
Build prototypes, learn the API, and validate ideas — no credit card required.
- 1 project
- Up to 2 team members
- 2 GB storage
- 2 GB writes / month
- 1 PB reads / month
- 500K LIU inference / month
- Available in 34 AWS regions worldwide
- Community support (Slack)
Scale to billions.
- Pay-as-you-go based on usage
- Available in 34 AWS regions worldwide
- Data versioning: branches, tags, aliases
- Hybrid search + semantic + lexical
- Point-in-time search
Also metered: $0.05 / GB returned (query responses) · $0.10 / GB-mo retention storage (deleted data kept in the retention window). Free for a promotional period, billing starts with advance notice.
Need embeddings? We'll handle it.
$1.05 per 1M LIU, using the per-model rate card below.
| Provider | Model | Input LIU / tokenLIU / tok | ≈ Cost / 1M input tokens$ / 1M tok |
|---|---|---|---|
| OpenAI | text-embedding-3-small | 0.02 | $0.021 |
| OpenAI | text-embedding-3-large | 0.13 | $0.1365 |
| OpenAI | text-embedding-ada-002 | 0.1 | $0.105 |
Free tier includes 500K LIU / month. How LIU is calculated →
Compare Free and Pay as You Go
Every core feature is available on every plan. Pay as You Go unlocks unlimited scale.
| Feature | Free | Pay as You Go |
|---|---|---|
| Hybrid search (BM25 + multi-vector) | ||
| Flexible document model | ||
| Full-text search (BM25) | ||
| Filtered search | ||
| Range search | ||
| Multi-language FTS (EN, KO, JA) | ||
| Vector compression | ||
| Automatic sharding | ||
| Git-like branching | ||
| Partitioning / multi-tenancy | ||
| Max projects | 1 | 5 (or higher on request) |
| Max team members | 2 | Unlimited |
Data returned and retention storage are free for a promotional period; billing starts with advance notice.
FAQ
Storage is billed at $0.33 / GB-month, prorated to the hour. If you halve your data mid-month, you pay half.
Whenever your usage exceeds the free quota — 2 GB storage, 2 GB writes/month, 1 PB reads/month, or 500K LIU inference/month. At that point you switch to Pay as You Go: per-unit pricing ($0.33 / GB-month storage, $1.00 / GB writes, $5.00 / PB reads, $1.05 / 1M LIU inference) with no minimum charge. As long as you stay within the free quota, your project stays free forever.
LIU (LambdaDB Inference Unit) is the unified billing unit for managed embedding calls. Token cost varies by model, so we normalize them at a single rate of $1.05 per 1M LIU. 500K LIU on Free ≈ 25M input tokens of text-embedding-3-small, ≈ 3.8M of text-embedding-3-large, ≈ 5M of text-embedding-ada-002.
Partitioning prevents your queries from scanning the entire index. LambdaDB reads only the partitions you choose, so you pay for fewer bytes scanned and get lower latency. Same index, same accuracy — just faster and cheaper.
LambdaDB uses a serverless, disaggregated architecture, so you don't manage clusters yourself. When traffic spikes, we scale up transparently and you only pay for resources actually used — no pre-provisioning for the peak of the peak, no permanently oversized clusters.
LambdaDB scales to billions of vectors in a single logical index at production-scale latency. Sharding and redistribution happen automatically — no manual re-sharding when your dataset grows.
Start small. Experiment safely.
Scale what works.
Hybrid search with no clusters to size. Branch, evaluate, and promote with aliases.