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diff --git a/content/providers/03-community-providers/06-mixedbread-ai.mdx b/content/providers/03-community-providers/06-mixedbread-ai.mdx
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+---
+title: Mixedbread AI Provider
+description: Learn how to use the Mixedbread AI provider.
+---
+
+# Mixedbread AI 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
+
+
+
+
+
+
+
+
+
+
+
+
+
+## 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<string,string>_
+
+ 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 | |
+| `deepset-mxbai-embed-de-large-v1` | 1024 | 512 | |
+
+
+ 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.
+
+
+### 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
+ },
+);
+```
diff --git a/content/providers/03-community-providers/07.voyage-ai.mdx b/content/providers/03-community-providers/07.voyage-ai.mdx
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+---
+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
+
+
+
+
+
+
+
+
+
+
+
+
+
+## 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<string,string>_
+
+ 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 |
+
+
+ The table above lists popular models. Please see the [Voyage
+ docs](https://docs.voyageai.com/docs/embeddings) for a full list of available
+ models.
+
+
+### 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,
+});
+```