From 5683b3536bdc1e061ab9fc90c6adce072b4d574e Mon Sep 17 00:00:00 2001
From: fzowl <160063452+fzowl@users.noreply.github.com>
Date: Fri, 12 Apr 2024 11:49:46 +0200
Subject: [PATCH] Update the VoyageAI documantation page (#219)

---
 integrations/voyage.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/integrations/voyage.md b/integrations/voyage.md
index c8ec3cee..93c82eee 100644
--- a/integrations/voyage.md
+++ b/integrations/voyage.md
@@ -28,7 +28,9 @@ toc: true
 
 Custom component for [Haystack](https://github.com/deepset-ai/haystack) (2.x) for creating embeddings using the [VoyageAI Embedding Models](https://voyageai.com/).
 
-Voyage’s embedding models, `voyage-2` and `voyage-2-code`, are state-of-the-art in retrieval accuracy. These models outperform top performing embedding models like `intfloat/e5-mistral-7b-instruct` and `OpenAI/text-embedding-3-large` on the [MTEB Benchmark](https://github.com/embeddings-benchmark/mteb). `voyage-2` is current ranked second on the [MTEB Leaderboard](https://huggingface.co/spaces/mteb/leaderboard).
+Voyage’s embedding models, such as `voyage-2` and `voyage-large-2`, are state-of-the-art in retrieval accuracy. These models outperform top performing embedding models like `intfloat/e5-mistral-7b-instruct` and `OpenAI/text-embedding-3-large` on the [MTEB Benchmark](https://github.com/embeddings-benchmark/mteb). `voyage-2` is current ranked second on the [MTEB Leaderboard](https://huggingface.co/spaces/mteb/leaderboard).
+
+The available models can be found on the [Embeddings Documentation.](https://docs.voyageai.com/embeddings/)
 
 ## Installation