Add contextual links to demos

learn/fine_tuning_results/faceted_search.mdx

@@ -10,7 +10,7 @@ You can use Meilisearch filters to build faceted search interfaces. This type of
 
 Facets are common in ecommerce sites like Amazon. When users search for products, they are presented with a list of results and a list of facets which you can see on the sidebar in the image below:
 
-![Meilisearch demo for an ecommerce website displaying faceting UI](https://raw.githubusercontent.com/meilisearch/documentation/main/assets/images/faceted-search/facets-ecommerce.png)
+[![Meilisearch demo for an ecommerce website displaying faceting UI](https://raw.githubusercontent.com/meilisearch/documentation/main/assets/images/faceted-search/facets-ecommerce.png)](https://ecommerce.meilisearch.com/?utm_campaign=oss&utm_source=docs&utm_medium=faceted-search&utm_content=image)
 
 Faceted search interfaces often have a count of how many results belong to each facet. This gives users a visual clue of the range of results available for each facet.
 
@@ -142,7 +142,7 @@ The following response shows the lowest and highest book ratings when searching
     }
   }
   …
-}  
+}
 ```
 
 If none of the matching documents have a numeric value for a facet, that facet is not included in the `facetStats` object. Since `rating` was the only numeric facet in our example, it is the only facet returned in the `facetStats` object.
@@ -289,3 +289,13 @@ The user can combine these two filter expressions in one by wrapping them in par
 The GIF below shows the `books` dataset with conjunctive and disjunctive facets. Notice how the facet count for each facet updates based on the selection.
 
 ![Selecting 'Fiction' and 'Literature' as 'genres' for English books](https://raw.githubusercontent.com/meilisearch/documentation/main/assets/images/faceted-search/conjunctive-and-disjunctive-facets.gif)
+
+## Example application
+
+The Meilisearch ecommerce demo makes heavy use of faceting features to enable:
+- Filtering products by category and brand
+- Filtering products by price range and rating
+- Searching through facet values (e.g. category)
+- Sorting facet values (count or alphabetical order)
+
+Check out the [ecommerce demo](https://ecommerce.meilisearch.com/?utm_campaign=oss&utm_source=docs&utm_medium=faceted-search&utm_content=link) and the [GitHub repository](https://github.com/meilisearch/ecommerce-demo/).

learn/fine_tuning_results/sorting.mdx

@@ -295,7 +295,7 @@ Queries using `_geoPoint` will always include a `geoDistance` field containing t
     "id": 1,
     "name": "Nàpiz' Milano",
     "_geo": {
-      "lat": 45.4777599, 
+      "lat": 45.4777599,
       "lng": 9.1967508
     },
     "_geoDistance": 1532
@@ -310,3 +310,9 @@ Queries using `_geoPoint` will always include a `geoDistance` field containing t
 The following query will sort results based on how close they are to the Eiffel Tower:
 
 <CodeSamples id="geosearch_guide_sort_usage_1" />
+
+## Example application
+
+Take a look at our demos for examples of how to implement sorting:
+- **Ecommerce demo**: [preview](https://ecommerce.meilisearch.com/?utm_campaign=oss&utm_source=docs&utm_medium=sorting) • [GitHub repository](https://github.com/meilisearch/ecommerce-demo/)
+- **CRM SaaS demo**: [preview](https://saas.meilisearch.com/?utm_campaign=oss&utm_source=docs&utm_medium=sorting) • [GitHub repository](https://github.com/meilisearch/saas-demo/)

learn/security/tenant_tokens.mdx

@@ -120,7 +120,7 @@ The token header must specify a `JWT` type and an encryption algorithm. Supporte
 {
   "alg": "HS256",
   "typ": "JWT"
-} 
+}
 ```
 
 The token payload contains most of the relevant token data. It must be an object containing a set of search rules and the first 8 characters of a Meilisearch API key. You may optionally set an expiration date for your token. Consult the [token payload reference](#tenant-token-payload-reference) for more information on the requirements for each payload field.
@@ -261,3 +261,9 @@ Changing an instance's master key forces Meilisearch to regenerate all API keys
 </Capsule>
 
 When using an official Meilisearch SDK, you may indicate the expiry date when generating a token. Consult the documentation of the SDK you are using for more specific instructions.
+
+## Example application
+
+Our in-app search demo implements multi-tenancy in a SaaS (Software as a Service) CRM. It only allows authenticated users to search through contacts, companies, and deals belonging to their organization.
+
+Check out the [SaaS demo](https://saas.meilisearch.com/?utm_campaign=oss&utm_source=docs&utm_medium=tenant-tokens) and the [GitHub repository](https://github.com/meilisearch/saas-demo/).

learn/what_is_meilisearch/overview.mdx

@@ -13,8 +13,8 @@ Meilisearch is a **RESTful search API**. It aims to be a **ready-to-go solution*
 
 ## Demo
 
-![Search bar updating results](https://raw.githubusercontent.com/meilisearch/documentation/main/assets/images/movies-demo-dark.gif)
-_Meilisearch helps you find where to watch a movie at [where2watch.meilisearch.com](https://where2watch.meilisearch.com/)._
+[![Search bar updating results](https://raw.githubusercontent.com/meilisearch/documentation/main/assets/images/movies-demo-dark.gif)](https://where2watch.meilisearch.com/?utm_campaign=oss&utm_source=docs&utm_medium=what-is-meilisearch&utm_content=gif)
+_Meilisearch helps you find where to watch a movie at [where2watch.meilisearch.com](https://where2watch.meilisearch.com/?utm_campaign=oss&utm_source=docs&utm_medium=what-is-meilisearch&utm_content=link)._
 
 ## Features
 
@@ -52,4 +52,3 @@ Meilisearch provides an intuitive search-as-you-type experience with response ti
 Instead of showing you examples, why not just invite you to test Meilisearch interactively in the **out-of-the-box search preview** we deliver?
 
 There's no need to write a single line of front-end code. All you need to do is follow [this guide](/learn/getting_started/quick_start) to give the search engine a try!
-