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Update guides/embedders/voyage.mdx
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Co-authored-by: Laurent Cazanove <[email protected]>
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qdequele and Strift authored Sep 3, 2024
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Expand Up @@ -98,4 +98,4 @@ You can use the Meilisearch API or client libraries to perform searches and retr

By following this guide, you should now have Meilisearch set up with Voyage AI embedding, enabling you to leverage semantic search capabilities in your application. Meilisearch's auto-batching and efficient handling of embeddings make it a powerful choice for integrating semantic search into your project.

To explore further configuration options for embedders, consult the [detailed documentation about the embedder setting possibilities](https://www.meilisearch.com/docs/reference/api/settings#embedders-experimental).
To explore further configuration options for embedders, consult the [detailed documentation about the embedder setting possibilities](/reference/api/settings?utm_campaign=vector-search&utm_source=docs&utm_medium=voyage-embeddings-guide#embedders-experimental).

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