> ## Documentation Index
> Fetch the complete documentation index at: https://docs.memmachine.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# CreateProjectOptions

> Configuration for initializing a new memory project.

## Overview

The `CreateProjectOptions` interface is used when calling `project.create()` to define the behavior and models for a new memory workspace. It allows you to specify the AI infrastructure that will power the semantic search and embedding storage.

***

## Properties

| Property      | Type     | Description                                                                 |
| :------------ | :------- | :-------------------------------------------------------------------------- |
| `description` | `string` | A brief summary of the project's purpose.                                   |
| `embedder`    | `string` | The specific model used to convert text into vector embeddings.             |
| `reranker`    | `string` | The model used to re-score and refine semantic search results for accuracy. |

***

## Usage Example

```typescript theme={null}
import { CreateProjectOptions } from '@memmachine/client';

const newProjectConfig: CreateProjectOptions = {
  description: 'Support bot for mobile app users',
  embedder: 'text-embedding-3-small',
  reranker: 'cohere-rerank-v3'
};

await client.project('mobile_support').create(newProjectConfig);
```