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my-project-public — gitlawb

#1	[Cloudflare Vectorize](https://developers.cloudflare.com/vectorize/) is a vector database offering from Cloudflare, allowing you to build AI-powered applications with vector embeddings.
#2
#3	### Usage
#4
#5	<CodeGroup>
#6	```typescript TypeScript
#7	import { Memory } from 'mem0ai/oss';
#8
#9	const config = {
#10	vectorStore: {
#11	provider: 'vectorize',
#12	config: {
#13	indexName: 'my-memory-index',
#14	accountId: 'your-cloudflare-account-id',
#15	apiKey: 'your-cloudflare-api-key',
#16	dimension: 1536, // Optional: defaults to 1536
#17	},
#18	},
#19	};
#20
#21	const memory = new Memory(config);
#22	const messages = [
#23	{"role": "user", "content": "I'm looking for a good book to read."},
#24	{"role": "assistant", "content": "Sure, what genre are you interested in?"},
#25	{"role": "user", "content": "I enjoy fantasy novels with strong world-building."},
#26	{"role": "assistant", "content": "Great! I'll keep that in mind for future recommendations."}
#27	]
#28	await memory.add(messages, { userId: "bob", metadata: { interest: "books" } });
#29	```
#30	</CodeGroup>
#31
#32	### Config
#33
#34	Here are the parameters available for configuring Vectorize:
#35
#36	<Tabs>
#37	<Tab title="TypeScript">
#38	\| Parameter \| Description \| Default Value \|
#39	\| --- \| --- \| --- \|
#40	\| `indexName` \| The name of the Vectorize index \| `None` (Required) \|
#41	\| `accountId` \| Your Cloudflare account ID \| `None` (Required) \|
#42	\| `apiKey` \| Your Cloudflare API token \| `None` (Required) \|
#43	\| `dimension` \| Dimensions of the embedding model \| `1536` \|
#44	</Tab>
#45	</Tabs>
#46

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