fix broken links

guimachiavelli · guimachiavelli · commit 6f9e0ed54e9c · 2024-11-05T19:10:00.000+01:00
diff --git a/guides/langchain.mdx b/guides/langchain.mdx
@@ -20,7 +20,7 @@ On Meilisearch Cloud, enable the vector store feature via your project’s Setti
 
 ![A section of the project overview interface titled "Experimental features". There are two options: "Score details" and "Vector store". "Vector store" is turned on.](https://raw.githubusercontent.com/meilisearch/documentation/main/assets/images/vector-search/01-cloud-vector-store.png)
 
-If you are working with a self-hosted Meilisearch instance, activate the vector store with the [API route](/learn/experimental/vector_search#activate-vector-search).
+If you are working with a self-hosted Meilisearch instance, activate the vector store with the [API route](/reference/api/experimental_features).
 
 ## Creating the application
 
@@ -167,4 +167,4 @@ For additional information, consult:
 
 [Meilisearch Python SDK docs](https://python-sdk.meilisearch.com/)
 
-Finally, should you want to use Meilisearch's vector search capabilities without LangChain or its hybrid search feature, refer to the [dedicated guide](/learn/experimental/vector_search).
+Finally, should you want to use Meilisearch's vector search capabilities without LangChain or its hybrid search feature, refer to the [dedicated tutorial](/learn/ai-powered-search/getting_started_with_ai_search).
diff --git a/learn/resources/experimental_features_overview.mdx b/learn/resources/experimental_features_overview.mdx
@@ -44,12 +44,12 @@ Activating or deactivating experimental features this way does not require you t
 
 | Name                                                                             | Description                                                | How to configure                                  |
 |----------------------------------------------------------------------------------|------------------------------------------------------------|---------------------------------------------------|
-| [Limit task batch size](/learn/experimental/max_number_of_batched_tasks)         | Limits number of tasks processed in a single batch         | At launch with a CLI flag or environment variable |
-| [Log customization](/learn/experimental/log_customization)                       | Customize log output and set up log streams                | At launch with a CLI flag or environment variable, during runtime with the API route |
-| [Metrics API](/learn/experimental/metrics)                                       | Exposes Prometheus-compatible analytics data               | At launch with a CLI flag or environment variable, during runtime with the API route |
-| [Reduce indexing memory usage](/learn/experimental/reduce-indexing-memory-usage) | Optimizes indexing performance                             | At launch with a CLI flag or environment variable |
-| [Replication parameters](/learn/experimental/replication_parameters)             | Alters task processing for clustering compatibility        | At launch with a CLI flag or environment variable |
-| [Search queue size](/learn/experimental/search_queue_size)                       | Configure maximum number of concurrent search requests     | At launch with a CLI flag or environment variable |
-| [Vector search](/learn/experimental/vector_search)                               | Allows Meilisearch to function as a vector embedding store | During runtime with the API route                 |
+| [Limit task batch size](/learn/self_hosted/configure_meilisearch_at_launch)         | Limits number of tasks processed in a single batch         | At launch with a CLI flag or environment variable |
+| [Log customization](/reference/api/logs)                       | Customize log output and set up log streams                | At launch with a CLI flag or environment variable, during runtime with the API route |
+| [Metrics API](/reference/api/metrics)                                       | Exposes Prometheus-compatible analytics data               | At launch with a CLI flag or environment variable, during runtime with the API route |
+| [Reduce indexing memory usage](/learn/self_hosted/configure_meilisearch_at_launch) | Optimizes indexing performance                             | At launch with a CLI flag or environment variable |
+| [Replication parameters](/learn/self_hosted/configure_meilisearch_at_launch)             | Alters task processing for clustering compatibility        | At launch with a CLI flag or environment variable |
+| [Search queue size](/learn/self_hosted/configure_meilisearch_at_launch)                       | Configure maximum number of concurrent search requests     | At launch with a CLI flag or environment variable |
+| [Vector store](/learn/ai_powered_search/getting_started_with_ai_search)                               | Allows Meilisearch to function as a vector embedding store | During runtime with the API route                 |
 | [`CONTAINS` filter operator](/learn/filtering_and_sorting/filter_expression_reference#contains)                               | Enables usage of `CONTAINS` with the `filter` search parameter | During runtime with the API route                 |
 | [Edit documents with function](/reference/api/documents#update-documents-with-function)                               | Use a RHAI function to edit documents directly in the Meilisearch database | During runtime with the API route                 |
diff --git a/learn/resources/known_limitations.mdx b/learn/resources/known_limitations.mdx
@@ -66,7 +66,7 @@ If your query is `Hello - World`:
 
 **Limitation:** Meilisearch handles a maximum of 1000 concurrent search requests.
 
-**Explanation:** This limit exists to prevent Meilisearch from queueing an unlimited number of requests and potentially consuming an unbounded amount of memory. If Meilisearch receives a new request when the queue is already full, it drops a random search request and returns a 503 `too_many_search_requests` error with a `Retry-After` header set to 10 seconds. Configure this limit with [`--experimental-search-queue-size`](/learn/experimental/search_queue_size).
+**Explanation:** This limit exists to prevent Meilisearch from queueing an unlimited number of requests and potentially consuming an unbounded amount of memory. If Meilisearch receives a new request when the queue is already full, it drops a random search request and returns a 503 `too_many_search_requests` error with a `Retry-After` header set to 10 seconds. Configure this limit with [`--experimental-search-queue-size`](/learn/self_hosted/configure_meilisearch_at_launch).
 
 ## Length of primary key values
 
diff --git a/reference/api/experimental_features.mdx b/reference/api/experimental_features.mdx
@@ -5,12 +5,12 @@ description: The /experimental-features route allows you to manage some of Meili
 
 # Experimental
 
-The `/experimental-features` route allows you to activate or deactivate some of Meilisearch's [experimental features](/learn/experimental/overview).
+The `/experimental-features` route allows you to activate or deactivate some of Meilisearch's [experimental features](/learn/resources/experimental_features_overview).
 
 This route is **synchronous**. This means that no task object will be returned, and any activated or deactivated features will be made available or unavailable immediately.
 
 <Capsule intent="danger">
-The experimental API route is not compatible with all experimental features. Consult the [experimental feature overview](/learn/experimental/overview#current-experimental-features) for a compatibility list.
+The experimental API route is not compatible with all experimental features. Consult the [experimental feature overview](/learn/resources/experimental_features_overview) for a compatibility list.
 </Capsule>
 
 ## Experimental features object
diff --git a/reference/errors/error_codes.mdx b/reference/errors/error_codes.mdx
@@ -596,7 +596,7 @@ Indexing a large batch of documents, such as a JSON file over 3.5GB in size, can
 
 ## `too_many_search_requests`
 
-You have reached the limit of concurrent search requests. You may configure it by relaunching your instance and setting a higher value to [`--experimental-search-queue-size`](/learn/experimental/search_queue_size).
+You have reached the limit of concurrent search requests. You may configure it by relaunching your instance and setting a higher value to [`--experimental-search-queue-size`](/learn/self_hosted/configure_meilisearch_at_launch).
 
 ## `unretrievable_document`
 
