From 56f5dfb9a052fd262c9d58ef05410a7ed5584511 Mon Sep 17 00:00:00 2001
From: Liam Thompson <32779855+leemthompo@users.noreply.github.com>
Date: Fri, 26 Jul 2024 14:47:43 +0100
Subject: [PATCH] [DOCS] Update retriever reranker options (#111337)

* [DOCS] Update retriever reranker options

* Fix typo
---
 docs/reference/search/retriever.asciidoc | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/docs/reference/search/retriever.asciidoc b/docs/reference/search/retriever.asciidoc
index ed39ac786880b..b86339b905631 100644
--- a/docs/reference/search/retriever.asciidoc
+++ b/docs/reference/search/retriever.asciidoc
@@ -213,7 +213,13 @@ The `text_similarity_reranker` is a type of retriever that enhances search resul
 
 To use `text_similarity_reranker` you must first set up a `rerank` task using the <<put-inference-api, Create {infer} API>>.
 The `rerank` task should be set up with a machine learning model that can compute text similarity.
-Currently you can integrate directly with the Cohere Rerank endpoint using the <<infer-service-cohere,`cohere-rerank`>> task, or upload a model to {es} <<inference-example-eland,using Eland>>.
+
+Currently you can:
+
+* Integrate directly with the <<infer-service-cohere,Cohere Rerank inference endpoint>> using the `rerank` task type
+* Integrate directly with the <<infer-service-google-vertex-ai,Google Vertex AI inference endpoint>> using the `rerank` task type
+* Upload a model to {es} with {eland-docs}/machine-learning.html#ml-nlp-pytorch[Eland]
+** Then set up an <<inference-example-eland,{es} service inference endpoint>> with the `rerank` task type
 
 ===== Parameters