Fix vLLM casing to vLlm

Author: tpayet

guides/ai/getting_started_with_chat.mdx

@@ -99,7 +99,7 @@ curl \
   }'
 ```
 
-```bash vllm
+```bash vLlm
 curl \
   -X PUT 'http://localhost:7700/chats/my-assistant/settings' \
   -H 'Authorization: Bearer MASTER_KEY' \

learn/ai_powered_search/conversational_search_with_chat.mdx

@@ -69,7 +69,7 @@ Meilisearch's chatCompletions consolidates these into one streamlined process:
 
 The chatCompletions feature operates through workspaces, which are isolated configurations for different use cases or tenants. Each workspace can:
 
-- Use different LLM sources (openAi, azureOpenAi, mistral, gemini, vllm)
+- Use different LLM sources (openAi, azureOpenAi, mistral, gemini, vLlm)
 - Apply custom prompts
 - Access specific indexes based on API keys
 - Maintain separate conversation contexts

reference/api/chats.mdx

@@ -40,9 +40,9 @@ The chatCompletions feature is experimental and must be enabled through [experim
 
 | Name           | Type   | Description                                                                           |
 | :------------- | :----- | :------------------------------------------------------------------------------------ |
-| **`source`**   | String | LLM source: `"openAi"`, `"azureOpenAi"`, `"mistral"`, `"gemini"`, or `"vllm"`       |
-| **`apiKey`**   | String | API key for the LLM provider (write-only, optional for vllm)                        |
-| **`baseUrl`**  | String | Base URL for the provider (required for azureOpenAi and vllm)                       |
+| **`source`**   | String | LLM source: `"openAi"`, `"azureOpenAi"`, `"mistral"`, `"gemini"`, or `"vLlm"`       |
+| **`apiKey`**   | String | API key for the LLM provider (write-only, optional for vLlm)                        |
+| **`baseUrl`**  | String | Base URL for the provider (required for azureOpenAi and vLlm)                       |
 | **`prompts`**  | Object | Prompts object containing system prompts and other configuration                     |
 
 ## Chat completions
@@ -250,13 +250,13 @@ curl \
   }'
 ```
 
-```bash vllm
+```bash vLlm
 curl \
   -X PUT 'http://localhost:7700/chats/customer-support/settings' \
   -H 'Authorization: Bearer MASTER_KEY' \
   -H 'Content-Type: application/json' \
   --data-binary '{
-    "source": "vllm",
+    "source": "vLlm",
     "baseUrl": "http://your-vllm-server:8000",
     "prompts": {
       "system": "You are a helpful customer support assistant."