Remove dummy ButtonLink components, just use a f <a> html or a Card component

Author: gmourier

guides/langchain.mdx

@@ -72,7 +72,9 @@ if "OPENAI_API_KEY" not in os.environ:
 
 Now that the project is ready, import some documents in Meilisearch. First, download this small movies dataset:
 
-<ButtonLink as="a" id="downloadMoviesLite" href="https://gist.github.com/Strift/1524ab5e2015e50bbcb215fb4d950a38" download="movies-lite.json">movies-lite.json</ButtonLink>
+<Card horizontal title="movies-lite.json" icon="file" href="https://gist.githubusercontent.com/Strift/1524ab5e2015e50bbcb215fb4d950a38/raw/movies-lite.json?raw=true">
+    Download movies-lite.json
+</Card>
 
 Then, update the setup.py file to load the JSON and store it in Meilisearch. You will also use the OpenAI text search models to generate vector embeddings.
 

learn/engine/storage.mdx

@@ -53,7 +53,7 @@ Meilisearch will always demand a certain amount of space to use as a [memory map
 
 ## Measured disk usage
 
-The following measurements were taken using <ButtonLink as="a" id="downloadMovie" href="/movies.json" download="movies.json">movies.json</ButtonLink> an 8.6 MB JSON dataset containing 19,553 documents.
+The following measurements were taken using <a href="/movies.json" download="movies.json">movies.json</a> an 8.6 MB JSON dataset containing 19,553 documents.
 
 After indexing, the dataset size in LMDB is about 122MB.
 

learn/getting_started/cloud_quick_start.mdx

@@ -78,7 +78,7 @@ The final step in creating an index is to add data to it. Choose "File upload":
   <img src="/assets/images/cloud-getting-started/8-file-upload.png" alt="Another modal window with three options. A red arrow points at the chosen option, 'File upload'" />
 </Frame>
 
-Meilisearch Cloud will ask you for your dataset. To follow along with this tutorial, use this !BUTTONLINK! list of movies !BUTTONLINK!. Download the file to your computer, drag and drop it into the indicated area, then click on "Import documents":
+Meilisearch Cloud will ask you for your dataset. To follow along with this tutorial, use this <a href="/movies.json" download="movies.json">list of movies</a>. Download the file to your computer, drag and drop it into the indicated area, then click on "Import documents":
 
 <Frame>
   <img src="/assets/images/cloud-getting-started/9-data-import.png" alt="Another modal window with a large drag-and-drop area. It indicates a file named 'movies.json' will be uploaded" />

learn/self_hosted/getting_started_with_self_hosted_meilisearch.mdx

@@ -71,7 +71,7 @@ To learn more about securing Meilisearch, refer to the [security tutorial](/lear
 
 In this quick start, you will search through a collection of movies.
 
-To follow along, first click this link to download the file: <ButtonLink as="a" id="downloadMovie" href="/movies.json" download="movies.json">movies.json</ButtonLink>. Then, move the downloaded file into your working directory.
+To follow along, first click this link to download the file: <a href="/movies.json" download="movies.json">movies.json</a>. Then, move the downloaded file into your working directory.
 
 <Note>
 Meilisearch accepts data in JSON, NDJSON, and CSV formats.