Merge pull request #2081 from Lwiel/new-docs2

RDoc-3361 Fixed anchors containing dots

Author: ppekrol

cloud/cloud-instances.mdx

@@ -19,10 +19,10 @@ import LanguageContent from "@site/src/components/LanguageContent";
 - Use your portal's [Products tab](../cloud/portal/cloud-portal-products-tab.mdx) to raise or modify 
 a Free node, a Development node, or a Production cluster.  
 - Free and Development nodes, as well as Production "basic" grade clusters, are operated by 
-[burstable instances](../cloud/cloud-overview.mdx#burstable-vs.-reserved-clusters).  
+[burstable instances](../cloud/cloud-overview.mdx#burstable-vs-reserved-clusters).  
 - The Production cluster grades [Standard](../cloud/cloud-instances.mdx#standard-grade-production-cluster) 
 and [Performance](../cloud/cloud-instances.mdx#performance-grade-production-cluster) are 
-[Reserved clusters](../cloud/cloud-overview.mdx#burstable-vs.-reserved-clusters).  
+[Reserved clusters](../cloud/cloud-overview.mdx#burstable-vs-reserved-clusters).  
 
 In this page:  
 

cloud/cloud-overview.mdx

@@ -37,7 +37,7 @@ like adding or removing nodes, and run recurring tasks like backing up your data
     * [RavenDB on the Cloud](../cloud/cloud-overview.mdx#ravendb-on-the-cloud)
         * [Instances, Provisioning and RavenDB Products](../cloud/cloud-overview.mdx#instances-provisioning-and-ravendb-products)
         * [RavenDB Tiers: Free, Development and Production](../cloud/cloud-overview.mdx#ravendb-tiers)
-        * [Burstable vs. Reserved clusters](../cloud/cloud-overview.mdx#burstable-vs.-reserved-clusters)
+        * [Burstable vs. Reserved clusters](../cloud/cloud-overview.mdx#burstable-vs-reserved-clusters)
         * [Budget, Credits and Throttling](../cloud/cloud-overview.mdx#budget-credits-and-throttling)
     * [RavenDB Studio - Graphic User Interface](../cloud/cloud-overview.mdx#ravendb-studio---graphic-user-interface)
         * [Accessing RavenDB Cloud Studio](../cloud/cloud-overview.mdx#accessing-ravendb-cloud-studio)

cloud/cloud-security.mdx

@@ -101,7 +101,7 @@ We recommend that you generate and use **different certificates** for your clien
 </Admonition>
 
 <Admonition type="info" title="Info">
-If your instance runs on a [burstable CPU](../cloud/cloud-overview.mdx#burstable-vs.-reserved-clusters), especially if it is a low-end one, 
+If your instance runs on a [burstable CPU](../cloud/cloud-overview.mdx#burstable-vs-reserved-clusters), especially if it is a low-end one, 
 RavenDB may take a while to generate certificates and spend a lot of your [CPU credits](../cloud/cloud-overview.mdx#budget-credits-and-throttling) in the 
 process.  
 We therefore recommend that you generate your certificates off-cloud and import them to your cloud instance.  

cloud/portal/cloud-portal-products-tab.mdx

@@ -42,10 +42,10 @@ To provision a new product, open your Portal's Products tab and click **Add Prod
 
 The New Product wizard will open and walk you through the following simple stages:  
 
-A. [Plan](../../cloud/portal/cloud-portal-products-tab.mdx#a.-new-product-plan)  
-B. [Billing](../../cloud/portal/cloud-portal-products-tab.mdx#b.-new-product-billing)  
-C. [Customize](../../cloud/portal/cloud-portal-products-tab.mdx#c.-new-product-customize)  
-D. [Summary](../../cloud/portal/cloud-portal-products-tab.mdx#d.-new-product-summary)  
+A. [Plan](../../cloud/portal/cloud-portal-products-tab.mdx#a-new-product-plan)  
+B. [Billing](../../cloud/portal/cloud-portal-products-tab.mdx#b-new-product-billing)  
+C. [Customize](../../cloud/portal/cloud-portal-products-tab.mdx#c-new-product-customize)  
+D. [Summary](../../cloud/portal/cloud-portal-products-tab.mdx#d-new-product-summary)  
 #### A. New Product: Plan
 Use the Plan page to choose your product's cloud **Provider**, **Region** and **Tier**.  
 

docs/ai-integration/connection-strings/azure-open-ai.mdx

@@ -65,7 +65,7 @@ export const supportedLanguages = ["csharp"];
    * When making vector search queries, the content of the search terms must also be converted to embeddings to compare them against the stored vectors.
      Requests to generate such query embeddings via the AI provider are sent in batches.
    * This parameter defines the maximum number of these batches that can be processed concurrently.  
-     You can set a default value using the [Ai.Embeddings.MaxConcurrentBatches](../../server/configuration/ai-integration-configuration.mdx#ai.embeddings.maxconcurrentbatches) configuration key.
+     You can set a default value using the [Ai.Embeddings.MaxConcurrentBatches](../../server/configuration/ai-integration-configuration.mdx#aiembeddingsmaxconcurrentbatches) configuration key.
 
 10. Click **Test Connection** to confirm the connection string is set up correctly.
 

docs/ai-integration/connection-strings/embedded.mdx

@@ -51,7 +51,7 @@ export const supportedLanguages = ["csharp"];
    * When making vector search queries, the content of the search terms must also be converted to embeddings to compare them against the stored vectors.
      Requests to generate such query embeddings via the AI provider are sent in batches.
    * This parameter defines the maximum number of these batches that can be processed concurrently.  
-     You can set a default value using the [Ai.Embeddings.MaxConcurrentBatches](../../server/configuration/ai-integration-configuration.mdx#ai.embeddings.maxconcurrentbatches) configuration key.
+     You can set a default value using the [Ai.Embeddings.MaxConcurrentBatches](../../server/configuration/ai-integration-configuration.mdx#aiembeddingsmaxconcurrentbatches) configuration key.
 
 5. Click **Save** to store the connection string or **Cancel** to discard changes.
 

docs/ai-integration/connection-strings/google-ai.mdx

@@ -64,7 +64,7 @@ export const supportedLanguages = ["csharp"];
    * When making vector search queries, the content of the search terms must also be converted to embeddings to compare them against the stored vectors.
      Requests to generate such query embeddings via the AI provider are sent in batches.
    * This parameter defines the maximum number of these batches that can be processed concurrently.  
-     You can set a default value using the [Ai.Embeddings.MaxConcurrentBatches](../../server/configuration/ai-integration-configuration.mdx#ai.embeddings.maxconcurrentbatches) configuration key.
+     You can set a default value using the [Ai.Embeddings.MaxConcurrentBatches](../../server/configuration/ai-integration-configuration.mdx#aiembeddingsmaxconcurrentbatches) configuration key.
 
 9. Click **Test Connection** to confirm the connection string is set up correctly.
 

docs/ai-integration/connection-strings/hugging-face.mdx

@@ -58,7 +58,7 @@ export const supportedLanguages = ["csharp"];
    * When making vector search queries, the content of the search terms must also be converted to embeddings to compare them against the stored vectors.
      Requests to generate such query embeddings via the AI provider are sent in batches.
    * This parameter defines the maximum number of these batches that can be processed concurrently.  
-     You can set a default value using the [Ai.Embeddings.MaxConcurrentBatches](../../server/configuration/ai-integration-configuration.mdx#ai.embeddings.maxconcurrentbatches) configuration key.
+     You can set a default value using the [Ai.Embeddings.MaxConcurrentBatches](../../server/configuration/ai-integration-configuration.mdx#aiembeddingsmaxconcurrentbatches) configuration key.
 
 8. Click **Test Connection** to confirm the connection string is set up correctly.
 

docs/ai-integration/connection-strings/mistral-ai.mdx

@@ -56,7 +56,7 @@ export const supportedLanguages = ["csharp"];
    * When making vector search queries, the content of the search terms must also be converted to embeddings to compare them against the stored vectors.
      Requests to generate such query embeddings via the AI provider are sent in batches.
    * This parameter defines the maximum number of these batches that can be processed concurrently.  
-     You can set a default value using the [Ai.Embeddings.MaxConcurrentBatches](../../server/configuration/ai-integration-configuration.mdx#ai.embeddings.maxconcurrentbatches) configuration key.
+     You can set a default value using the [Ai.Embeddings.MaxConcurrentBatches](../../server/configuration/ai-integration-configuration.mdx#aiembeddingsmaxconcurrentbatches) configuration key.
 
 8. Click **Test Connection** to confirm the connection string is set up correctly.
 

docs/ai-integration/connection-strings/ollama.mdx

@@ -53,7 +53,7 @@ export const supportedLanguages = ["csharp"];
    * When making vector search queries, the content of the search terms must also be converted to embeddings to compare them against the stored vectors.
      Requests to generate such query embeddings via the AI provider are sent in batches.
    * This parameter defines the maximum number of these batches that can be processed concurrently.  
-     You can set a default value using the [Ai.Embeddings.MaxConcurrentBatches](../../server/configuration/ai-integration-configuration.mdx#ai.embeddings.maxconcurrentbatches) configuration key.
+     You can set a default value using the [Ai.Embeddings.MaxConcurrentBatches](../../server/configuration/ai-integration-configuration.mdx#aiembeddingsmaxconcurrentbatches) configuration key.
 
 7. Click **Test Connection** to confirm the connection string is set up correctly.