Cloudflare Vectorize
Cloudflare Vectorize is a cloud-hosted vector database for building AI-powered applications with Cloudflare Workers.
What Cloudflare Vectorize is
Cloudflare Vectorize is a cloud-hosted vector database for building AI-powered applications with Cloudflare Workers. It supports semantic search, recommendations, classification, anomaly detection, and supplying context to large language models. Vectors can come from Workers AI models or platforms such as OpenAI. Workers connect to indexes through a Vectorize binding configured in Wrangler or the Cloudflare dashboard; a REST API also supports inserting and querying vectors. Results can reference images in R2, documents in KV, and user profiles in D1. Metadata filters work with indexed string, number, and boolean properties, with up to 10 metadata indexes per index. Each index can hold up to 20 million vectors, with up to 1,536 dimensions per vector. Queries can return up to 50 results with values or metadata, or 100 without. The free plan includes 30 million queried and 5 million stored vector dimensions per month. Pricing is freemium, with paid plans from $5/mo; further included allowances and usage charges vary by plan.
Good
- Free plan includes 30 million queried dimensions monthly.
- Supports REST API and Worker bindings.
- Indexes hold up to 20 million vectors.
- Results can reference R2, KV, and D1 data.
Watch out
- No hybrid search support.
- No sparse vector support.
- Paid usage has dimension-based charges.
Who it suits
Vectorize suits developers building Worker-based applications that need vector search, recommendations, classification, or retrieval context for language models. It may also fit teams wanting to connect search results with Cloudflare storage and database products.
Verdict
Vectorize offers vector storage and retrieval with Worker bindings, a REST API, and integration with Cloudflare data products. Check its dimension limits and plan allowances against the needs of your application.
Plans and prices
From Cloudflare Vectorize's own pricing page, checked 3 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Workers Free | Free | 100 indexes per account · 1,000 namespaces per index · Vectorize usage includes 30 million queried vector dimensions per month and 5 million stored vector dimensions. |
| Workers Paid | — | 50,000 indexes per account · 50,000 namespaces per index · First 50 million queried vector dimensions per month and first 10 million stored vector dimensions included; then $0.01 per million queried dimensions and $0.05 per 100 million stored dimensions. |
The facts
Each one read from Cloudflare Vectorize's own pages, with the date it was checked.
What it does
- Access security
- Cloudflare describes Workers bindings as a capability and API, with the underlying secret never exposed to Worker code.checked 3 Oct 2026
- API access
- Vectorize supports a REST API for operating on indexes, including inserting and querying vectors.checked 3 Oct 2026
- Capacity
- An index can contain up to 20 million vectors, with a maximum of 1,536 dimensions per vector at 32 bit precision.checked 3 Oct 2026
- Cloudflare integrations
- Vector search results can reference images in R2, documents in KV, and user profiles in D1.checked 3 Oct 2026
- Embeddings
- Vectors can come from Workers AI models or be supplied from platforms such as OpenAI.checked 3 Oct 2026
- Metadata filtering
- Metadata filters support string, number, and boolean indexed properties, with up to 10 metadata indexes per Vectorize index.checked 3 Oct 2026
- Product
- Vectorize is a globally distributed vector database for building AI powered applications with Cloudflare Workers.checked 3 Oct 2026
- Query limits
- Queries can return up to 50 results with values or metadata, or up to 100 results without them.checked 3 Oct 2026
- Support
- Cloudflare directs Vectorize users to its #vectorize Discord channel for questions, discussion, bug reports, and feedback.checked 3 Oct 2026
- Use cases
- It supports semantic search, recommendations, classification, anomaly detection, and providing context to large language models.checked 3 Oct 2026
- Worker access
- Workers connect to an index through a Vectorize binding configured in Wrangler or the Cloudflare dashboard.checked 3 Oct 2026
Money
- Billing
- Vectorize does not bill for CPU, memory, active index hours, or the number of indexes, and does not charge for data transfer or egress.checked 3 Oct 2026
The company
- Founded
- 2009checked 28 Sep 2026
- Headquarters
- San Francisco, California, United Stateschecked 28 Sep 2026
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