feat (docs): add mixedbreak and voyage ai providers (#3862)

Co-authored-by: VIVEK PATEL <[email protected]>

content/providers/03-community-providers/04-chrome-ai.mdx

@@ -1,6 +1,6 @@
 ---
 title: Chrome AI
-description: Learn how to use the Chrome built-in Language Model.
+description: Learn how to use the Chrome AI provider for the AI SDK.
 ---
 
 # ChromeAI

content/providers/03-community-providers/05-anthropic-vertex-ai.mdx

@@ -1,6 +1,6 @@
 ---
-title: AnthropicVertex
-description: Learn how to use Anthropic Vertex.
+title: Anthropic Vertex
+description: Learn how to use the Anthropic Vertex provider for the AI SDK.
 ---
 
 # AnthropicVertex Provider

content/providers/03-community-providers/08-friendliai.mdx

@@ -1,9 +1,9 @@
 ---
 title: FriendliAI
-description: Learn how to use the Friendli Provider for the AI SDK.
+description: Learn how to use the FriendliAI Provider for the AI SDK.
 ---
 
-# Friendli Provider
+# FriendliAI Provider
 
 The [FriendliAI](https://friendli.ai/) provider supports both open-source LLMs via [Friendli Serverless Endpoints](https://friendli.ai/products/serverless-endpoints) and custom models via [Dedicated Endpoints](https://friendli.ai/products/dedicated-endpoints).
 

content/providers/03-community-providers/10-portkey.mdx

@@ -1,6 +1,6 @@
 ---
 title: Portkey
-description: Portkey Provider for the AI SDK
+description: Learn how to use the Portkey provider for the AI SDK.
 ---
 
 # Portkey Provider

content/providers/03-community-providers/11-cloudflare-workers-ai.mdx

@@ -1,6 +1,6 @@
 ---
 title: Cloudflare Workers AI
-description: Learn how to use the Cloudflare Workers AI provider with the AI SDK.
+description: Learn how to use the Cloudflare Workers AI provider for the AI SDK.
 ---
 
 # Cloudflare Workers AI

content/providers/03-community-providers/21-crosshatch.mdx

@@ -1,6 +1,6 @@
 ---
 title: Crosshatch
-description: Crosshatch Provider for the AI SDK
+description: Learn how to use the Crosshatch provider for the AI SDK.
 ---
 
 # Crosshatch Provider

content/providers/03-community-providers/60-mixedbread.mdx

@@ -0,0 +1,95 @@
+---
+title: Mixedbread Provider
+description: Learn how to use the Mixedbread provider.
+---
+
+# Mixedbread Provider
+
+[patelvivekdev/mixedbread-ai-provider](https://github.com/patelvivekdev/mixedbread-ai-provider) is a community provider that uses [Mixedbread](https://www.mixedbread.ai/) to provide Embedding support for the AI SDK.
+
+## Setup
+
+The Mixedbread provider is available in the `mixedbread-ai-provider` module. You can install it with
+
+<Tabs items={['pnpm', 'npm', 'yarn']}>
+  <Tab>
+    <Snippet text="pnpm add mixedbread-ai-provider" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="npm install mixedbread-ai-provider" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="yarn add mixedbread-ai-provider" dark />
+  </Tab>
+</Tabs>
+
+## Provider Instance
+
+You can import the default provider instance `mixedbread ` from `mixedbread-ai-provider`:
+
+```ts
+import { mixedbread } from 'mixedbread-ai-provider';
+```
+
+If you need a customized setup, you can import `createMixedbread` from `mixedbread-ai-provider` and create a provider instance with your settings:
+
+```ts
+import { createMixedbread } from 'mixedbread-ai-provider';
+
+const mixedbread = createMixedbread({
+  baseURL: 'https://api.mixedbread.ai/v1',
+  apiKey: process.env.MIXEDBREAD_API_KEY,
+});
+```
+
+You can use the following optional settings to customize the Mixedbread provider instance:
+
+- **baseURL** _string_
+
+  The base URL of the Mixedbread API
+
+- **headers** _Record&lt;string,string&gt;_
+
+  Custom headers to include in the requests.
+
+## Embedding Models
+
+You can create models that call the [Mixedbread embeddings API](https://www.mixedbread.ai/api-reference/endpoints/embeddings)
+using the `.embedding()` factory method.
+
+```ts
+import { mixedbread } from 'mixedbread-ai-provider';
+
+const embeddingModel = mixedbread.textEmbeddingModel(
+  'mixedbread-ai/mxbai-embed-large-v1',
+);
+```
+
+### Model Capabilities
+
+| Model                             | Default Dimensions | Context Length | Custom Dimensions   |
+| --------------------------------- | ------------------ | -------------- | ------------------- |
+| `mxbai-embed-large-v1`            | 1024               | 512            | <Check size={18} /> |
+| `deepset-mxbai-embed-de-large-v1` | 1024               | 512            | <Check size={18} /> |
+
+<Note>
+  The table above lists popular models. Please see the [Mixedbread
+  docs](https://www.mixedbread.ai/docs/embeddings/models) for a full list of
+  available models.
+</Note>
+
+### Add settings to the model
+
+The settings object should contain the settings you want to add to the model.
+
+```ts
+import { mixedbread } from 'mixedbread-ai-provider';
+
+const embeddingModel = mixedbread.textEmbeddingModel(
+  'mixedbread-ai/mxbai-embed-large-v1',
+  {
+    prompt: 'Generate embeddings for text', // Max 256 characters
+    dimensions: 512, // Max 1024 for embed-large-v1
+  },
+);
+```

content/providers/03-community-providers/61-voyage-ai.mdx

@@ -0,0 +1,97 @@
+---
+title: Voyage AI Provider
+description: Learn how to use the Voyage AI provider.
+---
+
+# Voyage AI Provider
+
+[patelvivekdev/voyage-ai-provider](https://github.com/patelvivekdev/voyageai-ai-provider) is a community provider that uses [Voyage AI](https://www.voyageai.com) to provide Embedding support for the AI SDK.
+
+## Setup
+
+The Voyage provider is available in the `voyage-ai-provider` module. You can install it with
+
+<Tabs items={['pnpm', 'npm', 'yarn']}>
+  <Tab>
+    <Snippet text="pnpm add voyage-ai-provider" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="npm install voyage-ai-provider" dark />
+  </Tab>
+  <Tab>
+    <Snippet text="yarn add voyage-ai-provider" dark />
+  </Tab>
+</Tabs>
+
+## Provider Instance
+
+You can import the default provider instance `voyage ` from `voyage-ai-provider`:
+
+```ts
+import { voyage } from 'voyage-ai-provider';
+```
+
+If you need a customized setup, you can import `createVoyage` from `voyage-ai-provider` and create a provider instance with your settings:
+
+```ts
+import { createVoyage } from 'voyage-ai-provider';
+
+const voyage = createVoyage({
+  baseURL: 'https://api.voyageai.com/v1',
+  apiKey: process.env.VOYAGE_API_KEY,
+});
+```
+
+You can use the following optional settings to customize the Voyage provider instance:
+
+- **baseURL** _string_
+
+  The base URL of the voyage API
+
+- **headers** _Record&lt;string,string&gt;_
+
+  Custom headers to include in the requests.
+
+## Embedding Models
+
+You can create models that call the [Voyage embeddings API](https://docs.voyageai.com/reference/embeddings-api)
+using the `.embedding()` factory method.
+
+```ts
+import { voyage } from 'voyage-ai-provider';
+
+const embeddingModel = voyage.textEmbeddingModel('voyage-3');
+```
+
+You can find more models on the [Voyage Library](https://docs.voyageai.com/docs/embeddings) homepage.
+
+### Model Capabilities
+
+| Model                   | Default Dimensions | Context Length |
+| ----------------------- | ------------------ | -------------- |
+| `voyage-3`              | 1024               | 32000          |
+| `voyage-3-lite`         | 512                | 32000          |
+| `voyage-finance-2`      | 1024               | 32000          |
+| `voyage-multilingual-2` | 1024               | 32000          |
+| `voyage-law-2`          | 1024               | 32000          |
+| `voyage-code-2`         | 1024               | 16000          |
+| `voyage-3-lite`         | 1024               | 16000          |
+
+<Note>
+  The table above lists popular models. Please see the [Voyage
+  docs](https://docs.voyageai.com/docs/embeddings) for a full list of available
+  models.
+</Note>
+
+### Add settings to the model
+
+The settings object should contain the settings you want to add to the model.
+
+```ts
+import { voyage } from 'voyage-ai-provider';
+
+const embeddingModel = voyage.textEmbeddingModel('voyage-3', {
+  inputType: 'document', // 'document' or 'query'
+  truncation: false,
+});
+```