diff --git a/learn/chat/getting_started_with_chat.mdx b/learn/chat/getting_started_with_chat.mdx
index a2e2afed1..328235bf9 100644
--- a/learn/chat/getting_started_with_chat.mdx
+++ b/learn/chat/getting_started_with_chat.mdx
@@ -238,7 +238,7 @@ In most cases, that is only the beginning of adding conversational search to you
 
 Meilisearch's chat endpoint was designed to be OpenAI-compatible. This means you can use the official OpenAI SDK in any supported programming language, even if your provider is not OpenAI.
 
-Integrating Meiliearch and the OpenAI SDK with JavaScript would look lik this:
+Integrating Meilisearch and the OpenAI SDK with JavaScript would look like this:
 
 ```javascript JavaScript
 import OpenAI from 'openai';
@@ -260,8 +260,6 @@ for await (const chunk of completion) {
 
 Take particular note of the last lines, which output the streamed responses to the browser console. In a real-life application, you would instead print the response chunks to the user interface.
 
-</CodeGroup>
-
 ## Troubleshooting
 
 ### Common issues and solutions
diff --git a/learn/indexing/optimize_indexing_performance.mdx b/learn/indexing/optimize_indexing_performance.mdx
index dec198ba0..78b4ff14d 100644
--- a/learn/indexing/optimize_indexing_performance.mdx
+++ b/learn/indexing/optimize_indexing_performance.mdx
@@ -62,7 +62,7 @@ Focus on the **longest-running steps** and investigate which index settings or d
 
 | Description | Optimization |
 |--------------|--------------|
-| Time spent waiting for CPU-bound extraction. | No direct optimization possible. Indicates a CPU bottleneck. Use more cores or scale horizontally with [sharding](/learn/advanced/sharding). |
+| Time spent waiting for CPU-bound extraction. | No direct optimization possible. Indicates a CPU bottleneck. Use more cores or scale horizontally with [sharding](/learn/multi_search/implement_sharding). |
 
 ### `post processing facets > strings bulk` / `numbers bulk`