pingcap · qiancai · Mar 6, 2026 · Mar 6, 2026
diff --git a/TOC-develop.md b/TOC-develop.md
@@ -5,7 +5,7 @@
 
 ## QUICK START
 
-- [Create a {{{ .starter }}} Cluster](/develop/dev-guide-build-cluster-in-cloud.md)
+- [Create a {{{ .starter }}} Instance](/develop/dev-guide-build-cluster-in-cloud.md)
 - [TiDB Basics](/develop/dev-guide-tidb-basics.md)
 - [CRUD SQL in TiDB](/develop/dev-guide-tidb-crud-sql.md)
 

diff --git a/TOC-tidb-cloud-starter.md b/TOC-tidb-cloud-starter.md
@@ -30,22 +30,21 @@
 
 ## GUIDES
 
-- Manage Cluster
-  - [Select Your Cluster Plan](/tidb-cloud/select-cluster-tier.md)
-  - Manage TiDB Cloud Clusters
-    - [Create a TiDB Cloud Cluster](/tidb-cloud/create-tidb-cluster-serverless.md)
-    - Connect to Your TiDB Cloud Cluster
-      - [Network Connection Overview](/tidb-cloud/connect-to-tidb-cluster-serverless.md)
-      - [Connect via Public Endpoint](/tidb-cloud/connect-via-standard-connection-serverless.md)
-      - [Connect via Private Endpoint with AWS](/tidb-cloud/set-up-private-endpoint-connections-serverless.md)
-      - [Connect via Private Endpoint with Alibaba Cloud](/tidb-cloud/set-up-private-endpoint-connections-on-alibaba-cloud.md)
-    - Branch ![BETA](/media/tidb-cloud/blank_transparent_placeholder.png)
-      - [Overview](/tidb-cloud/branch-overview.md)
-      - [Manage Branches](/tidb-cloud/branch-manage.md)
-      - [GitHub Integration](/tidb-cloud/branch-github-integration.md)
-    - [Manage Spending Limit](/tidb-cloud/manage-serverless-spend-limit.md)
-    - [Back Up and Restore TiDB Cloud Data](/tidb-cloud/backup-and-restore-serverless.md)
-    - [Export Data from TiDB Cloud](/tidb-cloud/serverless-export.md)
+- Manage TiDB resources
+  - [Select a Plan](/tidb-cloud/select-cluster-tier.md)
+  - [Create a {{{ .starter }}} Instance](/tidb-cloud/create-tidb-cluster-serverless.md)
+  - Connect to Your {{{ .starter }}} Instance
+    - [Network Connection Overview](/tidb-cloud/connect-to-tidb-cluster-serverless.md)
+    - [Connect via Public Endpoint](/tidb-cloud/connect-via-standard-connection-serverless.md)
+    - [Connect via Private Endpoint with AWS](/tidb-cloud/set-up-private-endpoint-connections-serverless.md)
+    - [Connect via Private Endpoint with Alibaba Cloud](/tidb-cloud/set-up-private-endpoint-connections-on-alibaba-cloud.md)
+  - Branch ![BETA](/media/tidb-cloud/blank_transparent_placeholder.png)
+    - [Overview](/tidb-cloud/branch-overview.md)
+    - [Manage Branches](/tidb-cloud/branch-manage.md)
+    - [GitHub Integration](/tidb-cloud/branch-github-integration.md)
+  - [Manage Spending Limit](/tidb-cloud/manage-serverless-spend-limit.md)
+  - [Back Up and Restore TiDB Cloud Data](/tidb-cloud/backup-and-restore-serverless.md)
+  - [Export Data from TiDB Cloud](/tidb-cloud/serverless-export.md)
   - Use an HTAP Cluster with TiFlash
     - [TiFlash Overview](/tiflash/tiflash-overview.md)
     - [Create TiFlash Replicas](/tiflash/create-tiflash-replicas.md)
@@ -133,7 +132,7 @@
     - [Naming Conventions for Data Import](/tidb-cloud/naming-conventions-for-data-import.md)
     - [CSV Configurations for Importing Data](/tidb-cloud/csv-config-for-import-data.md)
     - [Troubleshoot Access Denied Errors during Data Import from Amazon S3](/tidb-cloud/troubleshoot-import-access-denied-error.md)
-    - [Connect AWS DMS to TiDB Cloud clusters](/tidb-cloud/tidb-cloud-connect-aws-dms.md)
+    - [Connect AWS DMS to TiDB Cloud Resources](/tidb-cloud/tidb-cloud-connect-aws-dms.md)
 - Explore Data
   - [Chat2Query in SQL Editor](/tidb-cloud/explore-data-with-chat2query.md) ![BETA](/media/tidb-cloud/blank_transparent_placeholder.png)
   - [SQL Proxy Account](/tidb-cloud/sql-proxy-account.md)

diff --git a/ai/examples/auto-embedding-with-pytidb.md b/ai/examples/auto-embedding-with-pytidb.md
@@ -17,7 +17,7 @@ This example shows how to use the [Auto Embedding](/ai/integrations/vector-searc
 Before you begin, ensure you have the following:
 
 - **Python (>=3.10)**: Install [Python](https://www.python.org/downloads/) 3.10 or a later version.
-- **A TiDB Cloud Starter cluster**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
+- **A TiDB Cloud Starter instance**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
 
 ## How to run
 

diff --git a/ai/examples/basic-with-pytidb.md b/ai/examples/basic-with-pytidb.md
@@ -16,7 +16,7 @@ This example demonstrates basic CRUD (Create, Read, Update, Delete) operations u
 Before you begin, ensure you have the following:
 
 - **Python (>=3.10)**: Install [Python](https://www.python.org/downloads/) 3.10 or a later version.
-- **A TiDB Cloud Starter cluster**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
+- **A TiDB Cloud Starter instance**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
 
 ## How to run
 

diff --git a/ai/examples/fulltext-search-with-pytidb.md b/ai/examples/fulltext-search-with-pytidb.md
@@ -17,7 +17,7 @@ This example demonstrates how to build an e-commerce product search app using Ti
 Before you begin, ensure you have the following:
 
 - **Python (>=3.10)**: Install [Python](https://www.python.org/downloads/) 3.10 or a later version.
-- **A TiDB Cloud Starter cluster**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
+- **A TiDB Cloud Starter instance**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
 
 ## How to run
 

diff --git a/ai/examples/hybrid-search-with-pytidb.md b/ai/examples/hybrid-search-with-pytidb.md
@@ -17,7 +17,7 @@ This demo shows how to combine vector search and full-text search to improve the
 Before you begin, ensure you have the following:
 
 - **Python (>=3.10)**: Install [Python](https://www.python.org/downloads/) 3.10 or a later version.
-- **A TiDB Cloud Starter cluster**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
+- **A TiDB Cloud Starter instance**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
 - **OpenAI API key**: Get an OpenAI API key from [OpenAI](https://platform.openai.com/api-keys).
 
 > **Note**

diff --git a/ai/examples/image-search-with-pytidb.md b/ai/examples/image-search-with-pytidb.md
@@ -22,7 +22,7 @@ With just a few lines of code, you can create a search system that understands b
 Before you begin, ensure you have the following:
 
 - **Python (>=3.10)**: Install [Python](https://www.python.org/downloads/) 3.10 or a later version.
-- **A TiDB Cloud Starter cluster**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
+- **A TiDB Cloud Starter instance**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
 - **Jina AI API key**: You can get a free API key from [Jina AI Embeddings](https://jina.ai/embeddings/).
 
 ## How to run

diff --git a/ai/examples/memory-with-pytidb.md b/ai/examples/memory-with-pytidb.md
@@ -24,7 +24,7 @@ With just a few lines of code, you can create a conversational AI that remembers
 Before you begin, ensure you have the following:
 
 - **Python (>=3.10)**: Install [Python](https://www.python.org/downloads/) 3.10 or a later version.
-- **A TiDB Cloud Starter cluster**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
+- **A TiDB Cloud Starter instance**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
 - **OpenAI API key**: Get an OpenAI API key from [OpenAI](https://platform.openai.com/api-keys).
 
 ## How to run

diff --git a/ai/examples/rag-with-pytidb.md b/ai/examples/rag-with-pytidb.md
@@ -19,7 +19,7 @@ The application uses [Ollama](https://ollama.com/download) for local embedding g
 Before you begin, ensure you have the following:
 
 - **Python (>=3.10)**: Install [Python](https://www.python.org/downloads/) 3.10 or a later version.
-- **A TiDB Cloud Starter cluster**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
+- **A TiDB Cloud Starter instance**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
 - **Ollama**: Install from [Ollama](https://ollama.com/download).
 
 ## How to run

diff --git a/ai/examples/text2sql-with-pytidb.md b/ai/examples/text2sql-with-pytidb.md
@@ -12,7 +12,7 @@ This demo shows how to build an AI-powered interface that converts natural-langu
 Before you begin, ensure you have the following:
 
 - **Python (>=3.10)**: Install [Python](https://www.python.org/downloads/) 3.10 or a later version.
-- **A TiDB Cloud Starter cluster**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
+- **A TiDB Cloud Starter instance**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
 - **OpenAI API key**: Get an OpenAI API key from [OpenAI](https://platform.openai.com/api-keys).
 
 ## How to run

diff --git a/ai/examples/vector-search-with-pytidb.md b/ai/examples/vector-search-with-pytidb.md
@@ -19,7 +19,7 @@ The application uses [Ollama](https://ollama.com/download) for local embedding g
 Before you begin, ensure you have the following:
 
 - **Python (>=3.10)**: Install [Python](https://www.python.org/downloads/) 3.10 or a later version.
-- **A TiDB Cloud Starter cluster**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
+- **A TiDB Cloud Starter instance**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
 - **Ollama**: Install from [Ollama](https://ollama.com/download).
 
 ## How to run

diff --git a/ai/guides/connect.md b/ai/guides/connect.md
@@ -24,7 +24,7 @@ Choose the steps based on your TiDB deployment type:
 <SimpleTab>
 <div label="TiDB Cloud Starter">
 
-You can [create a TiDB Cloud Starter cluster](https://tidbcloud.com/free-trial/), and then get the connection parameters from the web console as follows:
+You can [create a TiDB Cloud Starter instance](https://tidbcloud.com/free-trial/), and then get the connection parameters from the web console as follows:
 
 1. Navigate to the [Clusters page](https://tidbcloud.com/clusters), and then click the name of your target cluster to go to its overview page.
 2. Click **Connect** in the upper-right corner. A connection dialog is displayed, with connection parameters listed.
@@ -46,7 +46,7 @@ db = TiDBClient.connect(
 
 > **Note:**
 >
-> For TiDB Cloud Starter, [TLS connection to the database](https://docs.pingcap.com/tidbcloud/secure-connections-to-starter-clusters/) is required when using a public endpoint. The `pytidb` client **automatically** enables TLS for TiDB Cloud Starter clusters.
+> For TiDB Cloud Starter, [TLS connection to the database](https://docs.pingcap.com/tidbcloud/secure-connections-to-starter-clusters/) is required when using a public endpoint. The `pytidb` client **automatically** enables TLS for TiDB Cloud Starter instances.
 
 </div>
 <div label="TiDB Self-Managed">
@@ -83,7 +83,7 @@ If you prefer to use a connection string (database URL), you can follow the form
 <SimpleTab>
 <div label="TiDB Cloud Starter">
 
-You can [create a TiDB Cloud Starter cluster](https://tidbcloud.com/free-trial/), and then get the connection parameters from the web console as follows:
+You can [create a TiDB Cloud Starter instance](https://tidbcloud.com/free-trial/), and then get the connection parameters from the web console as follows:
 
 1. Navigate to the [Clusters page](https://tidbcloud.com/clusters), and then click the name of your target cluster to go to its overview page.
 2. Click **Connect** in the upper-right corner. A connection dialog is displayed, with the connection parameters listed.

diff --git a/ai/guides/vector-search-full-text-search-python.md b/ai/guides/vector-search-full-text-search-python.md
@@ -30,7 +30,7 @@ Full-text search is still in the early stages, and we are continuously rolling i
 
 - AWS: `Frankfurt (eu-central-1)` and `Singapore (ap-southeast-1)`
 
-To complete this tutorial, make sure you have a {{{ .starter }}} cluster in a supported region. If you don't have one, follow [Creating a {{{ .starter }}} cluster](/develop/dev-guide-build-cluster-in-cloud.md) to create it.
+To complete this tutorial, make sure you have a {{{ .starter }}} instance in a supported region. If you don't have one, follow [Creating a {{{ .starter }}} instance](/develop/dev-guide-build-cluster-in-cloud.md) to create it.
 
 ## Get started
 
@@ -81,7 +81,7 @@ You can get these connection parameters from the [TiDB Cloud console](https://ti
    CA:       /etc/ssl/cert.pem
    ```
 
-   The corresponding Python code to connect to the {{{ .starter }}} cluster would be as follows:
+   The corresponding Python code to connect to the {{{ .starter }}} instance would be as follows:
 
    ```python
    db = TiDBClient.connect(

diff --git a/ai/guides/vector-search-full-text-search-sql.md b/ai/guides/vector-search-full-text-search-sql.md
@@ -30,7 +30,7 @@ Full-text search is still in the early stages, and we are continuously rolling i
 
 - AWS: `Frankfurt (eu-central-1)` and `Singapore (ap-southeast-1)`
 
-Before using full-text search, make sure your {{{ .starter }}} cluster is created in a supported region. If you don't have one, follow [Creating a {{{ .starter }}} cluster](/develop/dev-guide-build-cluster-in-cloud.md) to create it.
+Before using full-text search, make sure your {{{ .starter }}} instance is created in a supported region. If you don't have one, follow [Creating a {{{ .starter }}} instance](/develop/dev-guide-build-cluster-in-cloud.md) to create it.
 
 To perform a full-text search, follow these steps:
 

diff --git a/ai/guides/vector-search-hybrid-search.md b/ai/guides/vector-search-hybrid-search.md
@@ -23,7 +23,7 @@ Full-text search is still in the early stages, and we are continuously rolling i
 
 - AWS: `Frankfurt (eu-central-1)` and `Singapore (ap-southeast-1)`
 
-To complete this tutorial, make sure you have a {{{ .starter }}} cluster in a supported region. If you don't have one, follow [Creating a {{{ .starter }}} cluster](/develop/dev-guide-build-cluster-in-cloud.md) to create it.
+To complete this tutorial, make sure you have a {{{ .starter }}} instance in a supported region. If you don't have one, follow [Creating a {{{ .starter }}} instance](/develop/dev-guide-build-cluster-in-cloud.md) to create it.
 
 ## Get started
 
@@ -70,7 +70,7 @@ You can get these connection parameters from the [TiDB Cloud console](https://ti
    CA:       /etc/ssl/cert.pem
    ```
 
-   The corresponding Python code to connect to the {{{ .starter }}} cluster would be as follows:
+   The corresponding Python code to connect to the {{{ .starter }}} instance would be as follows:
 
    ```python
    db = TiDBClient.connect(

diff --git a/ai/integrations/embedding-openai-compatible.md b/ai/integrations/embedding-openai-compatible.md
@@ -9,7 +9,7 @@ This tutorial demonstrates how to use OpenAI-compatible embedding services to ge
 
 > **Note:**
 >
-> Currently, [Auto Embedding](/ai/integrations/vector-search-auto-embedding-overview.md) is only available on {{{ .starter }}} clusters hosted on AWS.
+> Currently, [Auto Embedding](/ai/integrations/vector-search-auto-embedding-overview.md) is only available on {{{ .starter }}} instances hosted on AWS.
 
 ## OpenAI-compatible embedding services
 

diff --git a/ai/integrations/tidb-mcp-claude-code.md b/ai/integrations/tidb-mcp-claude-code.md
@@ -13,7 +13,7 @@ Before you begin, ensure you have the following:
 
 - **Claude Code**: Install it from [claude.com](https://claude.com/product/claude-code).
 - **Python (>=3.10) and uv**: Ensure Python (3.10 or later) and `uv` are installed. Follow the [installation guide](https://docs.astral.sh/uv/getting-started/installation/) to install `uv`.
-- **A TiDB Cloud Starter cluster**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
+- **A TiDB Cloud Starter instance**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
 
 ## Connect to TiDB Cloud Starter (recommended)
 

diff --git a/ai/integrations/tidb-mcp-claude-desktop.md b/ai/integrations/tidb-mcp-claude-desktop.md
@@ -13,7 +13,7 @@ Before you begin, ensure you have the following:
 
 - **Claude Desktop**: Download and install Claude Desktop from [claude.ai](https://claude.ai/download).
 - **Python (>=3.10) and uv**: Ensure Python (3.10 or later) and `uv` are installed. Follow the [installation guide](https://docs.astral.sh/uv/getting-started/installation/) to install `uv`.
-- **A TiDB Cloud Starter cluster**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
+- **A TiDB Cloud Starter instance**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
 
 ## Setup steps
 

diff --git a/ai/integrations/tidb-mcp-cursor.md b/ai/integrations/tidb-mcp-cursor.md
@@ -17,7 +17,7 @@ Before you begin, ensure you have the following:
 
 - **Cursor**: Download and install Cursor from [cursor.com](https://cursor.com).
 - **Python (>=3.10) and uv**: Ensure Python (3.10 or later) and `uv` are installed. Follow the [installation guide](https://docs.astral.sh/uv/getting-started/installation/) to install `uv`.
-- **A TiDB Cloud Starter cluster**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
+- **A TiDB Cloud Starter instance**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
 
 ## Connect to TiDB Cloud Starter (recommended)
 

diff --git a/ai/integrations/tidb-mcp-server.md b/ai/integrations/tidb-mcp-server.md
@@ -27,7 +27,7 @@ Before you begin, ensure you have the following:
 
 - **An MCP-compatible client**: For example, [Cursor](/ai/integrations/tidb-mcp-cursor.md) or [Claude Desktop](/ai/integrations/tidb-mcp-claude-desktop.md).
 - **Python (>=3.10) and uv**: Ensure Python (3.10 or later) and `uv` are installed. Follow the [installation guide](https://docs.astral.sh/uv/getting-started/installation/) to install `uv`.
-- **A TiDB Cloud Starter cluster**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
+- **A TiDB Cloud Starter instance**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
 
 ## Supported MCP Clients
 

diff --git a/ai/integrations/tidb-mcp-vscode.md b/ai/integrations/tidb-mcp-vscode.md
@@ -13,7 +13,7 @@ Before you begin, ensure you have the following:
 
 - **Visual Studio Code**: Download and install VS Code from [code.visualstudio.com](https://code.visualstudio.com).
 - **Python (>=3.10) and uv**: Ensure Python (3.10 or later) and `uv` are installed. Follow the [installation guide](https://docs.astral.sh/uv/getting-started/installation/) to install `uv`.
-- **A TiDB Cloud Starter cluster**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
+- **A TiDB Cloud Starter instance**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
 
 ## Connect to TiDB Cloud Starter (recommended)
 

diff --git a/ai/integrations/tidb-mcp-windsurf.md b/ai/integrations/tidb-mcp-windsurf.md
@@ -13,7 +13,7 @@ Before you begin, ensure you have the following:
 
 - **Windsurf**: Download and install Windsurf from [windsurf.com](https://windsurf.com).
 - **Python (>=3.10) and uv**: Ensure Python (3.10 or later) and `uv` are installed. Follow the [installation guide](https://docs.astral.sh/uv/getting-started/installation/) to install `uv`.
-- **A TiDB Cloud Starter cluster**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
+- **A TiDB Cloud Starter instance**: You can create a free TiDB cluster on [TiDB Cloud](https://tidbcloud.com/free-trial).
 
 ## Connect to TiDB Cloud Starter (recommended)
 

diff --git a/ai/integrations/vector-search-auto-embedding-amazon-titan.md b/ai/integrations/vector-search-auto-embedding-amazon-titan.md
@@ -10,7 +10,7 @@ This document describes how to use Amazon Titan embedding models with [Auto Embe
 
 > **Note:**
 >
-> [Auto Embedding](/ai/integrations/vector-search-auto-embedding-overview.md) is only available on {{{ .starter }}} clusters hosted on AWS.
+> [Auto Embedding](/ai/integrations/vector-search-auto-embedding-overview.md) is only available on {{{ .starter }}} instances hosted on AWS.
 
 ## Available models
 

diff --git a/ai/integrations/vector-search-auto-embedding-cohere.md b/ai/integrations/vector-search-auto-embedding-cohere.md
@@ -10,7 +10,7 @@ This document describes how to use Cohere embedding models with [Auto Embedding]
 
 > **Note:**
 >
-> [Auto Embedding](/ai/integrations/vector-search-auto-embedding-overview.md) is only available on {{{ .starter }}} clusters hosted on AWS.
+> [Auto Embedding](/ai/integrations/vector-search-auto-embedding-overview.md) is only available on {{{ .starter }}} instances hosted on AWS.
 
 ## Available models
 

diff --git a/ai/integrations/vector-search-auto-embedding-gemini.md b/ai/integrations/vector-search-auto-embedding-gemini.md
@@ -10,7 +10,7 @@ This document describes how to use Gemini embedding models with [Auto Embedding]
 
 > **Note:**
 >
-> [Auto Embedding](/ai/integrations/vector-search-auto-embedding-overview.md) is only available on {{{ .starter }}} clusters hosted on AWS.
+> [Auto Embedding](/ai/integrations/vector-search-auto-embedding-overview.md) is only available on {{{ .starter }}} instances hosted on AWS.
 
 ## Available models
 

diff --git a/ai/integrations/vector-search-auto-embedding-huggingface.md b/ai/integrations/vector-search-auto-embedding-huggingface.md
@@ -10,7 +10,7 @@ This document describes how to use Hugging Face embedding models with [Auto Embe
 
 > **Note:**
 >
-> [Auto Embedding](/ai/integrations/vector-search-auto-embedding-overview.md) is only available on {{{ .starter }}} clusters hosted on AWS.
+> [Auto Embedding](/ai/integrations/vector-search-auto-embedding-overview.md) is only available on {{{ .starter }}} instances hosted on AWS.
 
 ## Available models
 

diff --git a/ai/integrations/vector-search-auto-embedding-jina-ai.md b/ai/integrations/vector-search-auto-embedding-jina-ai.md
@@ -10,7 +10,7 @@ This document describes how to use [Jina AI embedding models](https://jina.ai/em
 
 > **Note:**
 >
-> [Auto Embedding](/ai/integrations/vector-search-auto-embedding-overview.md) is only available on {{{ .starter }}} clusters hosted on AWS.
+> [Auto Embedding](/ai/integrations/vector-search-auto-embedding-overview.md) is only available on {{{ .starter }}} instances hosted on AWS.
 
 ## Available models
 

diff --git a/ai/integrations/vector-search-auto-embedding-nvidia-nim.md b/ai/integrations/vector-search-auto-embedding-nvidia-nim.md
@@ -10,7 +10,7 @@ This document describes how to use NVIDIA NIM embedding models with [Auto Embedd
 
 > **Note:**
 >
-> [Auto Embedding](/ai/integrations/vector-search-auto-embedding-overview.md) is only available on {{{ .starter }}} clusters hosted on AWS.
+> [Auto Embedding](/ai/integrations/vector-search-auto-embedding-overview.md) is only available on {{{ .starter }}} instances hosted on AWS.
 
 ## Available models