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50 lines
1.6 KiB
Plaintext
50 lines
1.6 KiB
Plaintext
---
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title: "Cloudflare Vectorize"
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description: "Use Cloudflare Vectorize as a vector database in Mem0 for building AI-powered applications at the edge."
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---
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[Cloudflare Vectorize](https://developers.cloudflare.com/vectorize/) is a vector database offering from Cloudflare, allowing you to build AI-powered applications with vector embeddings.
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### Usage
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<CodeGroup>
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```typescript TypeScript
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import { Memory } from 'mem0ai/oss';
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const config = {
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vectorStore: {
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provider: 'vectorize',
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config: {
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indexName: 'my-memory-index',
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accountId: 'your-cloudflare-account-id',
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apiKey: 'your-cloudflare-api-key',
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dimension: 1536, // Optional: defaults to 1536
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},
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},
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};
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const memory = new Memory(config);
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const messages = [
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{"role": "user", "content": "I'm looking for a good book to read."},
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{"role": "assistant", "content": "Sure, what genre are you interested in?"},
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{"role": "user", "content": "I enjoy fantasy novels with strong world-building."},
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{"role": "assistant", "content": "Great! I'll keep that in mind for future recommendations."}
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]
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await memory.add(messages, { userId: "bob", metadata: { interest: "books" } });
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```
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</CodeGroup>
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### Config
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Here are the parameters available for configuring Vectorize:
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<Tabs>
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<Tab title="TypeScript">
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| Parameter | Description | Default Value |
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| --- | --- | --- |
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| `indexName` | The name of the Vectorize index | `None` (Required) |
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| `accountId` | Your Cloudflare account ID | `None` (Required) |
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| `apiKey` | Your Cloudflare API token | `None` (Required) |
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| `dimension` | Dimensions of the embedding model | `1536` |
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</Tab>
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</Tabs>
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