v1.3: Vector search (#2479)

* vector search: add experimental feature page * vector search: improve wording * vector search: use consistent slug * Update learn/experimental/vector_search.mdx Co-authored-by: Tommy <[email protected]> --------- Co-authored-by: Tommy <[email protected]>
meilisearch · Jul 25, 2023 · 58f2450 · 58f2450
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diff --git a/config/sidebar-learn.json b/config/sidebar-learn.json
@@ -394,10 +394,15 @@
 							"slug": "reduce-indexing-memory-usage"
 					},
 					{
-						"source": "learn/experimental/ranking_rule_score_details.mdx",
-						"label": "Ranking score details",
-						"slug": "ranking_rule_score_details"
-				  }
+						  "source": "learn/experimental/ranking_rule_score_details.mdx",
+						  "label": "Ranking score details",
+						  "slug": "ranking_rule_score_details"
+				  },
+					{
+							"source": "learn/experimental/vector_search.mdx",
+							"label": "Vector search",
+							"slug": "vector_search"
+					}
 			]
 	},
 	{

diff --git a/learn/experimental/vector_search.mdx b/learn/experimental/vector_search.mdx
@@ -0,0 +1,14 @@
+
+# Vector search
+
+Vector search is an experimental technology that uses Large Language Models to retrieve search results. This feature is useful when you are interested in results based on the meaning and context of a query, such as suggesting related products in webshop or articles in an online magazine.
+
+[Visit the GitHub discussion to learn how to get started with vector search in Meilisearch](https://github.com/meilisearch/product/discussions/621).
+
+Are you using this feature? Meilisearch wants to hear from you! Tell us about your experience in the [GitHub discussion](https://github.com/meilisearch/product/discussions/621). All feedback is useful and helps make Meilisearch better and easier to use.
+
+<Capsule intent="warning">
+This is an experimental feature. Experimental features are unstable: their API might significantly change and become incompatible between releases. Meilisearch does not recommend using experimental features in a production environment.
+
+Meilisearch makes experimental features available expecting they will become stable in a future release. However, it is not possible to guarantee when and if this will happen.
+</Capsule>