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Cloudflare Vectorize

docs/components/vectordbs/dbs/vectorize.mdx

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Cloudflare Vectorize is a vector database offering from Cloudflare, allowing you to build AI-powered applications with vector embeddings.

Usage

<CodeGroup> ```typescript TypeScript import { Memory } from 'mem0ai/oss';

const config = { vectorStore: { provider: 'vectorize', config: { indexName: 'my-memory-index', accountId: 'your-cloudflare-account-id', apiKey: 'your-cloudflare-api-key', dimension: 1536, // Optional: defaults to 1536 }, }, };

const memory = new Memory(config); const messages = [ {"role": "user", "content": "I'm looking for a good book to read."}, {"role": "assistant", "content": "Sure, what genre are you interested in?"}, {"role": "user", "content": "I enjoy fantasy novels with strong world-building."}, {"role": "assistant", "content": "Great! I'll keep that in mind for future recommendations."} ] await memory.add(messages, { userId: "bob", metadata: { interest: "books" } });

</CodeGroup>

### Config

Here are the parameters available for configuring Vectorize:

<Tabs>
<Tab title="TypeScript">
| Parameter | Description | Default Value |
| --- | --- | --- |
| `indexName` | The name of the Vectorize index | `None` (Required) |
| `accountId` | Your Cloudflare account ID | `None` (Required) |
| `apiKey` | Your Cloudflare API token | `None` (Required) |
| `dimension` | Dimensions of the embedding model | `1536` |
</Tab>
</Tabs>