Merge remote-tracking branch 'origin/main' into DOC-15108

Author: florence-crl

src/current/cockroachcloud/costs.md

@@ -260,7 +260,7 @@ Cloud providers may vary in how they calculate each category and define each reg
 
 #### Same-region
 
-There are no charges for same-region data transfer between CockroachDB cluster nodes. Data egressing the cluster to endpoints in the same region for backups or changefeeds, or using private connectivity, is charged the cloud provider's list price for same-region data transfer.
+There are no charges for same-region data transfer between CockroachDB cluster nodes. Data egressing the cluster to endpoints in the same region for backups or changefeeds, or using private connectivity, is charged the cloud provider's list price for same-region data transfer. Egress private endpoint usage is posted in separate line items under the **Data transfer** section, as  **Private endpoint - bytes processed - Advanced plan**.
 
 #### Cross-region
 
@@ -270,7 +270,7 @@ Cross-region data transfer includes:
 
 - Data transfer required to support queries that involve lookups on nodes in another region.  
 - CockroachDB replication across nodes that are in different regions.  
-- Data egress from the CockroachDB Cloud cluster via supported [private connectivity]({% link cockroachcloud/connect-to-your-cluster.md %}#establish-private-connectivity) services to a private endpoint in another region.  
+- Data egress, including [changefeed and backup traffic egress]({% link cockroachcloud/egress-private-endpoints.md %}), from the CockroachDB {{ site.data.products.cloud }} cluster via supported [private connectivity]({% link cockroachcloud/connect-to-your-cluster.md %}#establish-private-connectivity) services to a private endpoint in another region.  
 - [Managed backup]({% link cockroachcloud/backup-and-restore-overview.md %}#managed-backups) and [Self-managed backup]({% link cockroachcloud/take-and-restore-self-managed-backups.md %}) data transfer to another region.  
 - Change data capture (changefeed) data transfer to another region.
 
@@ -307,6 +307,8 @@ In CockroachDB {{ site.data.products.standard }}, CDC is billed monthly based on
 
 In CockroachDB {{ site.data.products.advanced }}, CDC is billed monthly based on the total size of a cluster's watched tables and whether the {{ site.data.products.advanced }} security add-on is enabled. The per-GiB unit price is tiered, based on the size of watched data: Less than 5 GiB-Month, 5 to 100 GiB-Month, 100 to 250 GiB-Month, 250 to 500 GiB-Month, or 500 GiB-Month and higher.
 
+Data sent from a CockroachDB {{ site.data.products.advanced }} cluster over an [egress connection to a private endpoint]({% link cockroachcloud/egress-private-endpoints.md %}), such as changefeeds and logs, are charged according to [data transfer costs](#data-transfer).
+
 </section>
 
 ## Non-payment

src/current/cockroachcloud/egress-private-endpoints.md

@@ -19,6 +19,10 @@ CockroachDB {{ site.data.products.cloud }} supports egress private endpoints wit
 - [Google Cloud VPC Private Service Connect (GCP PSC)](https://cloud.google.com/vpc/docs/private-service-connect)
 - [Confluent Cloud on GCP or AWS](https://www.confluent.io/confluent-cloud/)
 
+{{site.data.alerts.callout_info}}
+Billing for egress private endpoint usage is based on bytes processed over the endpoint, which includes the cloud provider's per-GB data processing fees and any applicable data transfer charges. There is no additional markup from Cockroach Labs. These charges appear as separate line items on your invoice under **Private endpoint - bytes processed**.
+{{site.data.alerts.end}}
+
 {{site.data.alerts.callout_danger}}
 Regions cannot be removed from a CockroachDB {{ site.data.products.cloud }} cluster if there are egress private endpoints in that region. When a {{ site.data.products.cloud }} cluster is deleted, all private endpoints associated with the cluster are deleted as well.
 {{site.data.alerts.end}}

src/current/v25.4/cockroachdb-feature-availability.md

@@ -83,10 +83,6 @@ The following cluster settings enable the [`database` and `application_name` lab
 
 By default, these cluster settings are disabled.
 
-### Vector indexes
-
-A [vector index]({% link {{ page.version.version }}/vector-indexes.md %}) enables efficient approximate nearest neighbor (ANN) search on high-dimensional [`VECTOR`]({% link {{ page.version.version }}/vector.md %}) columns. Use vector indexes to improve the performance of similarity searches over large datasets, such as embeddings generated by machine learning models.
-
 ### JSONPath queries
 
 [JSONPath]({% link {{ page.version.version }}/jsonpath.md %}) expressions and functions can be used to query and filter [`JSONB`]({% link {{ page.version.version }}/jsonb.md %}) data, using [JSONPath expressions]({% link {{ page.version.version }}/jsonpath.md %}#jsonpath-expression) as arguments in [JSONPath functions]({% link {{ page.version.version }}/jsonpath.md %}#jsonpath-functions).
@@ -111,10 +107,6 @@ The [cluster setting]({% link {{ page.version.version }}/cluster-settings.md %})
 
 CockroachDB {{ site.data.products.standard }} is our new, [enterprise-ready plan](https://www.cockroachlabs.com/pricing), recommended for most applications. You can start small with [provisioned capacity that can scale on demand]({% link cockroachcloud/plan-your-cluster.md %}), along with enterprise-level security and availability. Compute for CockroachDB {{ site.data.products.standard }} is pre-provisioned and storage is usage-based. You can easily switch a CockroachDB {{ site.data.products.basic }} cluster to CockroachDB {{ site.data.products.standard }} in place.
 
-### Vector search
-
-The [`VECTOR`]({% link {{ page.version.version }}/vector.md %}) data type stores fixed-length arrays of floating-point numbers, which represent data points in multi-dimensional space. Vector search is often used in AI applications such as Large Language Models (LLMs) that rely on vector representations.
-
 ### CockroachDB Cloud Folders
 
 [Organizing CockroachDB {{ site.data.products.cloud }} clusters using folders]({% link cockroachcloud/folders.md %}) is in preview. Folders allow you to organize and manage access to your clusters according to your organization's requirements. For example, you can create top-level folders for each business unit in your organization, and within those folders, organize clusters by geographic location and then by  level of maturity, such as production, staging, and testing.

src/current/v25.4/vector-indexes.md

@@ -6,10 +6,6 @@ keywords: vector, vector index, vector search, ann, approximate nearest neighbor
 docs_area: develop
 ---
 
-{{site.data.alerts.callout_info}}
-{% include_cached feature-phases/preview.md %}
-{{site.data.alerts.end}}
-
 A *vector index* enables efficient approximate nearest neighbor (ANN) search on high-dimensional [`VECTOR`]({% link {{ page.version.version }}/vector.md %}) columns. Use vector indexes to improve the performance of similarity searches over large datasets, such as embeddings generated by machine learning models.
 
 This page describes how to create and use vector indexes on CockroachDB.

src/current/v25.4/vector.md

@@ -5,10 +5,6 @@ toc: true
 docs_area: reference.sql
 ---
 
-{{site.data.alerts.callout_info}}
-{% include feature-phases/preview.md %}
-{{site.data.alerts.end}}
-
 The `VECTOR` data type stores fixed-length arrays of floating-point numbers, which represent data points in multi-dimensional space. Vector search is often used in AI applications such as Large Language Models (LLMs) that rely on vector representations. 
 
 For details on valid `VECTOR` comparison operators, refer to [Syntax](#syntax). For the list of supported `VECTOR` functions, refer to [Functions and Operators]({% link {{ page.version.version }}/functions-and-operators.md %}#pgvector-functions).