drop https after consulting other programmers

guimachiavelli · guimachiavelli · commit cdb6420310b2 · 2025-01-14T18:38:54.000+01:00
diff --git a/.code-samples.meilisearch.yaml b/.code-samples.meilisearch.yaml
diff --git a/guides/computing_hugging_face_embeddings_gpu.mdx b/guides/computing_hugging_face_embeddings_gpu.mdx
@@ -59,7 +59,7 @@ Next, enable the vector store experimental feature:
 
 ```sh
 curl \
-  -X PATCH 'https://MEILISEARCH_URL/experimental-features/' \
+  -X PATCH 'MEILISEARCH_URL/experimental-features/' \
   -H 'Content-Type: application/json'  \
   --data-binary '{ "vectorStore": true }'
 ```
@@ -68,7 +68,7 @@ Then add the Hugging Face embedder to your index settings:
 
 ```sh
 curl \
-  -X PATCH 'https://MEILISEARCH_URL/indexes/INDEX_NAME/settings/embedders' \
+  -X PATCH 'MEILISEARCH_URL/indexes/INDEX_NAME/settings/embedders' \
   -H 'Content-Type: application/json' \
   --data-binary '{ "default": { "source": "huggingFace" } }'
 ```
diff --git a/guides/front_end/search_bar_for_docs.mdx b/guides/front_end/search_bar_for_docs.mdx
@@ -84,7 +84,7 @@ You can run the scraper with Docker. With our local Meilisearch instance set up
 ```bash
 docker run -t --rm \
   --network=host \
-  -e MEILISEARCH_HOST_URL='https://MEILISEARCH_URL' \
+  -e MEILISEARCH_HOST_URL='MEILISEARCH_URL' \
   -e MEILISEARCH_API_KEY='MASTER_KEY' \
   -v <absolute-path-to-your-config-file>:/docs-scraper/config.json \
   getmeili/docs-scraper:latest pipenv run ./docs_scraper config.json
@@ -152,7 +152,7 @@ module.exports = {
 }
 ```
 
-The `hostUrl` and the `apiKey` fields are the credentials of the Meilisearch instance. Following on from this tutorial, they are respectively `https://MEILISEARCH_URL` and `MASTER_KEY`.
+The `hostUrl` and the `apiKey` fields are the credentials of the Meilisearch instance. Following on from this tutorial, they are respectively `MEILISEARCH_URL` and `MASTER_KEY`.
 
 `indexUid` is the index identifier in your Meilisearch instance in which your website content is stored. It has been defined in the [config file](#configuration-file).
 
@@ -195,7 +195,7 @@ _[Docxtemplater](https://docxtemplater.com/) search bar demo_
 </html>
 ```
 
-The `hostUrl` and the `apiKey` fields are the credentials of the Meilisearch instance. Following on from this tutorial, they are respectively `https://MEILISEARCH_URL` and `MASTER_KEY`.
+The `hostUrl` and the `apiKey` fields are the credentials of the Meilisearch instance. Following on from this tutorial, they are respectively `MEILISEARCH_URL` and `MASTER_KEY`.
 
 `indexUid` is the index identifier in your Meilisearch instance in which your website content is stored. It has been defined in the [config file](#configuration-file).
 `inputSelector` is the `id` attribute of the HTML search input tag.
diff --git a/guides/improve_relevancy_large_documents.mdx b/guides/improve_relevancy_large_documents.mdx
@@ -123,7 +123,7 @@ To prevent that from happening, configure `story_id` as the index's distinct att
 
 ```sh
 curl \
-  -X PUT 'https://MEILISEARCH_URL/indexes/INDEX_NAME/settings/distinct-attribute' \
+  -X PUT 'MEILISEARCH_URL/indexes/INDEX_NAME/settings/distinct-attribute' \
   -H 'Content-Type: application/json' \
   --data-binary '"story_id"'
 ```
diff --git a/learn/ai_powered_search/deactivate_ai_powered_search.mdx b/learn/ai_powered_search/deactivate_ai_powered_search.mdx
@@ -25,7 +25,7 @@ Alternatively, use [the `/experimental` route](/reference/api/experimental_featu
 
 ```sh
 curl \
-  -X PATCH 'https://MEILISEARCH_URL/experimental-features/' \
+  -X PATCH 'MEILISEARCH_URL/experimental-features/' \
   -H 'Content-Type: application/json'  \
   --data-binary '{
     "vectorStore": false
diff --git a/learn/ai_powered_search/getting_started_with_ai_search.mdx b/learn/ai_powered_search/getting_started_with_ai_search.mdx
@@ -39,7 +39,7 @@ Use [the `/experimental-features` route](/reference/api/experimental_features?ut
 
 ```sh
 curl \
-  -X PATCH 'https://MEILISEARCH_URL/experimental-features/' \
+  -X PATCH 'MEILISEARCH_URL/experimental-features/' \
   -H 'Content-Type: application/json'  \
   --data-binary '{
     "vectorStore": true
@@ -54,7 +54,7 @@ Use the `embedders` index setting of the [update `/settings` endpoint](/referenc
 
 ```sh
 curl \
-  -X PATCH 'https://MEILISEARCH_URL/indexes/kitchenware/settings' \
+  -X PATCH 'MEILISEARCH_URL/indexes/kitchenware/settings' \
   -H 'Content-Type: application/json' \
   --data-binary '{
     "embedders": {
@@ -86,7 +86,7 @@ Perform AI-powered searches with `q` and `hybrid` to retrieve search results usi
 
 ```sh
 curl \
-  -X POST 'https://MEILISEARCH_URL/indexes/kitchenware/search' \
+  -X POST 'MEILISEARCH_URL/indexes/kitchenware/search' \
   -H 'content-type: application/json' \
   --data-binary '{
     "q": "kitchen utensils made of wood",
diff --git a/learn/ai_powered_search/search_with_user_provided_embeddings.mdx b/learn/ai_powered_search/search_with_user_provided_embeddings.mdx
@@ -17,7 +17,7 @@ Configure the `embedder` index setting, settings its source to `userProvided`:
 
 ```sh
 curl \
-  -X PATCH 'https://MEILISEARCH_URL/indexes/movies/settings' \
+  -X PATCH 'MEILISEARCH_URL/indexes/movies/settings' \
   -H 'Content-Type: application/json' \
   --data-binary '{
     "embedders": {
diff --git a/learn/async/task_webhook.mdx b/learn/async/task_webhook.mdx
@@ -38,7 +38,7 @@ A common asynchronous operation is adding or updating documents to an index. The
 
 ```sh
 curl \
-  -X POST 'https://MEILISEARCH_URL/indexes/books/documents' \
+  -X POST 'MEILISEARCH_URL/indexes/books/documents' \
   -H 'Content-Type: application/json' \
   --data-binary '[
     {
diff --git a/learn/engine/datatypes.mdx b/learn/engine/datatypes.mdx
@@ -257,7 +257,7 @@ The following query returns patients `0` and `1`:
 
 ```sh
 curl \
-  -X POST 'https://MEILISEARCH_URL/indexes/clinic_patients/search' \
+  -X POST 'MEILISEARCH_URL/indexes/clinic_patients/search' \
   -H 'Content-Type: application/json' \
   --data-binary '{
     "q": "",
diff --git a/learn/filtering_and_sorting/filter_expression_reference.mdx b/learn/filtering_and_sorting/filter_expression_reference.mdx
@@ -179,7 +179,7 @@ This is an experimental feature. Use the experimental features endpoint to activ
 
 ```sh
 curl \
-  -X PATCH 'https://MEILISEARCH_URL/experimental-features/' \
+  -X PATCH 'MEILISEARCH_URL/experimental-features/' \
   -H 'Content-Type: application/json' \
   --data-binary '{
     "containsFilter": true
@@ -211,7 +211,7 @@ This is an experimental feature. Use the experimental features endpoint to activ
 
 ```sh
 curl \
-  -X PATCH 'https://MEILISEARCH_URL/experimental-features/' \
+  -X PATCH 'MEILISEARCH_URL/experimental-features/' \
   -H 'Content-Type: application/json' \
   --data-binary '{
     "containsFilter": true
diff --git a/learn/multi_search/performing_federated_search.mdx b/learn/multi_search/performing_federated_search.mdx
@@ -21,9 +21,9 @@ Download the following datasets: <a href="/assets/datasets/crm-chats.json">`crm-
 Add the datasets to Meilisearch and create three separate indexes, `profiles`, `chats`, and `tickets`:
 
 ```sh
-curl  -X POST 'https://MEILISEARCH_URL/indexes/profiles'  -H 'Content-Type: application/json'  --data-binary @crm-profiles.json &&
-curl  -X POST 'https://MEILISEARCH_URL/indexes/chats'  -H 'Content-Type: application/json'  --data-binary @crm-chats.json &&
-curl  -X POST 'https://MEILISEARCH_URL/indexes/tickets'  -H 'Content-Type: application/json'  --data-binary @crm-tickets.json
+curl  -X POST 'MEILISEARCH_URL/indexes/profiles'  -H 'Content-Type: application/json'  --data-binary @crm-profiles.json &&
+curl  -X POST 'MEILISEARCH_URL/indexes/chats'  -H 'Content-Type: application/json'  --data-binary @crm-chats.json &&
+curl  -X POST 'MEILISEARCH_URL/indexes/tickets'  -H 'Content-Type: application/json'  --data-binary @crm-tickets.json
 ```
 
 [Use the tasks endpoint](/learn/async/working_with_tasks) to check the indexing status. Once Meilisearch successfully indexed all three datasets, you are ready to perform a federated search.
@@ -36,7 +36,7 @@ Use the `/multi-search` endpoint with the `federation` parameter to query the th
 
 ```sh
 curl \
-  -X POST 'https://MEILISEARCH_URL/multi-search' \
+  -X POST 'MEILISEARCH_URL/multi-search' \
   -H 'Content-Type: application/json' \
   --data-binary '{
     "federation": {},
@@ -90,7 +90,7 @@ Use the `weight` property of the `federation` parameter to boost results coming
 
 ```sh
 curl \
-  -X POST 'https://MEILISEARCH_URL/multi-search' \
+  -X POST 'MEILISEARCH_URL/multi-search' \
   -H 'Content-Type: application/json' \
   --data-binary '{
     "federation": {},
diff --git a/learn/security/generate_tenant_token_scratch.mdx b/learn/security/generate_tenant_token_scratch.mdx
@@ -36,7 +36,7 @@ Next, find your default search API key. Query the [get an API key endpoint](/ref
 
 ```sh
 curl \
-  -X GET 'https://MEILISEARCH_URL/keys/API_KEY' \
+  -X GET 'MEILISEARCH_URL/keys/API_KEY' \
   -H 'Authorization: Bearer MASTER_KEY'
 ```
 
diff --git a/learn/security/generate_tenant_token_sdk.mdx b/learn/security/generate_tenant_token_sdk.mdx
@@ -31,7 +31,7 @@ Next, find your default search API key. Query the [get an API key endpoint](/ref
 
 ```sh
 curl \
-  -X GET 'https://MEILISEARCH_URL/keys/API_KEY' \
+  -X GET 'MEILISEARCH_URL/keys/API_KEY' \
   -H 'Authorization: Bearer MASTER_KEY'
 ```
 
diff --git a/learn/security/generate_tenant_token_third_party.mdx b/learn/security/generate_tenant_token_third_party.mdx
@@ -31,7 +31,7 @@ Next, find your default search API key. Query the [get an API key endpoint](/ref
 
 ```sh
 curl \
-  -X GET 'https://MEILISEARCH_URL/keys/API_KEY' \
+  -X GET 'MEILISEARCH_URL/keys/API_KEY' \
   -H 'Authorization: Bearer MASTER_KEY'
 ```
 
diff --git a/learn/update_and_migration/migrating_cloud.mdx b/learn/update_and_migration/migrating_cloud.mdx
@@ -22,7 +22,7 @@ To migrate Meilisearch, you must first [export a dump](/learn/advanced/dumps). A
 To export a dump, make sure your self-hosted Meilisearch instance is running. Then, open your terminal and run the following command, replacing `MEILISEARCH_URL` with your instance's address:
 
 ```sh
-curl -X POST 'https://MEILISEARCH_URL:7700/dumps'
+curl -X POST 'MEILISEARCH_URL:7700/dumps'
 ```
 
 Meilisearch will return a summarized task object and begin creating the dump. [Use the returned object's `taskUid` to monitor its progress.](/learn/async/asynchronous_operations)
diff --git a/reference/api/documents.mdx b/reference/api/documents.mdx
@@ -401,7 +401,7 @@ This is an experimental feature. Use the experimental features endpoint to activ
 
 ```sh
 curl \
-  -X PATCH 'https://MEILISEARCH_URL/experimental-features/' \
+  -X PATCH 'MEILISEARCH_URL/experimental-features/' \
   -H 'Content-Type: application/json' \
   --data-binary '{
     "editDocumentsByFunction": true
@@ -439,7 +439,7 @@ Use `context` to pass data to the `function` scope. By default a function only h
 
 ```sh
 curl \
--X POST 'https://MEILISEARCH_URL/indexes/INDEX_NAME/documents/edit' \
+-X POST 'MEILISEARCH_URL/indexes/INDEX_NAME/documents/edit' \
 -H 'Content-Type: application/json' \
 --data-binary '{
   "function": "doc.title = `${doc.title.to_upper()}`"
diff --git a/reference/api/logs.mdx b/reference/api/logs.mdx
@@ -10,7 +10,7 @@ This is an experimental feature. Use the experimental features endpoint to activ
 
 ```sh
 curl \
-  -X PATCH 'https://MEILISEARCH_URL/experimental-features/' \
+  -X PATCH 'MEILISEARCH_URL/experimental-features/' \
   -H 'Content-Type: application/json'  \
   --data-binary '{
     "logsRoute": true
diff --git a/reference/api/metrics.mdx b/reference/api/metrics.mdx
@@ -12,7 +12,7 @@ This is an experimental feature. Use the experimental features endpoint to activ
 
 ```sh
 curl \
-  -X PATCH 'https://MEILISEARCH_URL/experimental-features/' \
+  -X PATCH 'MEILISEARCH_URL/experimental-features/' \
   -H 'Content-Type: application/json' \
   --data-binary '{
     "enableMetrics": true
diff --git a/reference/api/overview.mdx b/reference/api/overview.mdx
@@ -102,15 +102,15 @@ Meilisearch supports the following compression methods:
 The code sample below uses the `Content-Encoding: gzip` header, indicating that the request body is compressed using the `gzip` algorithm:
 
 ```
- cat ~/movies.json | gzip | curl -X POST 'https://MEILISEARCH_URL/indexes/movies/documents' --data-binary @- -H 'Content-Type: application/json' -H 'Content-Encoding: gzip'
+ cat ~/movies.json | gzip | curl -X POST 'MEILISEARCH_URL/indexes/movies/documents' --data-binary @- -H 'Content-Type: application/json' -H 'Content-Encoding: gzip'
 ```
 
 #### Response compression
 
 Meilisearch compresses a response if the request contains the `Accept-Encoding` header. The code sample below uses the `gzip` algorithm:
 
 ```
-curl -sH 'Accept-encoding: gzip' 'https://MEILISEARCH_URL/indexes/movies/search' | gzip -
+curl -sH 'Accept-encoding: gzip' 'MEILISEARCH_URL/indexes/movies/search' | gzip -
 ```
 
 ## Request body
diff --git a/reference/api/settings.mdx b/reference/api/settings.mdx
@@ -2439,7 +2439,7 @@ Use `distribution` when configuring an embedder to correct the returned `_rankin
 
 ```sh
 curl \
-  -X PATCH 'https://MEILISEARCH_URL/indexes/INDEX_NAME/settings' \
+  -X PATCH 'MEILISEARCH_URL/indexes/INDEX_NAME/settings' \
   -H 'Content-Type: application/json' \
   --data-binary '{
     "embedders": {

Original file line number	Diff line number	Diff line change
`@@ -38,7 +38,7 @@ A common asynchronous operation is adding or updating documents to an index. The`
`38`	`38`
`39`	`39`	```sh
`40`	`40`	`curl \`
`41`		`- -X POST 'https://MEILISEARCH_URL/indexes/books/documents' \`
	`41`	`+ -X POST 'MEILISEARCH_URL/indexes/books/documents' \`
`42`	`42`	`-H 'Content-Type: application/json' \`
`43`	`43`	`--data-binary '[`
`44`	`44`	`{`