
Cloudflare Vectorize
6.2#15 in vector databasesFree planFree planWebAPI
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| Fact | Cloudflare Vectorize | Pinecone |
|---|---|---|
| Founded | 2009 | 2019 |
| Headquarters | San Francisco, California, United States | New York City, New York, United States |
| Metadata filtering | Metadata filters support string, number, and boolean indexed properties, with up to 10 metadata indexes per Vectorize index. | Metadata fields can be attached to vectors and used to restrict search results with filters. |
| Product | Vectorize is a globally distributed vector database for building AI powered applications with Cloudflare Workers. | Pinecone describes its product as a fully managed vector database built for AI workloads. |
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.
Pinecone suits teams building AI applications that need vector search, recommendations, or retrieval-augmented generation. Its web and API access, integrations, and multiple index types support varied implementation needs.