docs: update references from TiDB Cloud Serverless to TiDB Cloud Starter

- Changed all instances of "TiDB Cloud Serverless" to "TiDB Cloud Starter" across various documentation files, including demos, guides, and examples.
- Ensured consistency in terminology to reflect the updated branding and offerings of TiDB Cloud.

Author: Mini256

.cursor/rules/styleguide.mdc

@@ -51,7 +51,7 @@ You are acting as a **senior technical writer** who is reviewing TiDB documentat
 
 - Inconsistent use of technical terms
 
-    _"TiDB Cloud Serverless clusters" vs. "TiDB Serverless clusters"_ – pick one.
+    _"TiDB Cloud Starter clusters" vs. "TiDB Cloud clusters"_ – pick one.
 
 - Unclear step instructions
 

demos.yml

@@ -2,10 +2,10 @@
 title: "Demo Gallery"
 description: |
   Explore hands-on demos showcasing how TiDB empowers AI applications.<br>
-  Get started quickly with <a href='https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=demo_gallery' target='_blank' rel='noopener noreferrer' class='gallery-cta-link'><b>TiDB Cloud Serverless</b></a> to build your own AI-powered solutions.
+  Get started quickly with <a href='https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=demo_gallery' target='_blank' rel='noopener noreferrer' class='gallery-cta-link'><b>TiDB Cloud Starter</b></a> to build your own AI-powered solutions.
 
 meta:
-  description: "Explore hands-on demos showcasing how TiDB empowers AI applications. Get started quickly with TiDB Cloud Serverless to build your own AI-powered solutions."
+  description: "Explore hands-on demos showcasing how TiDB empowers AI applications. Get started quickly with TiDB Cloud Starter to build your own AI-powered solutions."
 
 categories:
   - id: "featured"
@@ -119,9 +119,9 @@ demos:
 # CTA section configuration
 cta:
   title: "Ready to build your AI application?"
-  description: "Start your AI journey with TiDB Cloud Serverless. Follow our quickstart guide to build your first AI-powered application in minutes, or explore specific examples for your use case."
+  description: "Start your AI journey with TiDB Cloud Starter. Follow our quickstart guide to build your first AI-powered application in minutes, or explore specific examples for your use case."
   buttons:
-    - text: "Try TiDB Cloud Serverless"
+    - text: "Try TiDB Cloud Starter"
       url: "https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=pytidb_readme"
       type: "primary"
       external: true

src/ai/concepts/vector-search.md

@@ -10,7 +10,7 @@ Vector search offers a powerful solution for semantic similarity searches across
 
 !!! note
 
-    The vector search feature is only available for TiDB Self-Managed clusters and [TiDB Cloud Serverless](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless) clusters.
+    The vector search feature is only available for TiDB Self-Managed clusters and [TiDB Cloud Starter](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-starter) clusters.
 
 ## Concepts
 

src/ai/examples/auto-embedding-with-pytidb.md

@@ -16,8 +16,7 @@ This example showcases how to use the auto embedding feature with PyTiDB Client.
 ## Prerequisites
 
 - **Python 3.10+**
-- **A TiDB Cloud Serverless cluster**: Create a free cluster here: [tidbcloud.com ↗️](https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=pytidb_readme)
-- **Jina AI API key**: Go to [Jina AI](https://jina.ai/embeddings/) to get your own API key
+- **A TiDB Cloud Starter cluster**: Create a free cluster here: [tidbcloud.com ↗️](https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=pytidb_readme)
 
 ## How to run
 
@@ -47,7 +46,9 @@ TIDB_PORT=4000
 TIDB_USERNAME={prefix}.root
 TIDB_PASSWORD={password}
 TIDB_DATABASE=test
-JINA_AI_API_KEY={your-jina-api-key}
+
+# Using TiDB Cloud Free embedding model by default, which is no required to set up any API key
+EMBEDDING_PROVIDER=tidbcloud_free
 EOF
 ```
 
@@ -61,7 +62,7 @@ python main.py
 
 ```plain
 === Define embedding function ===
-Embedding function defined
+Embedding function (model id: tidbcloud_free/amazon/titan-embed-text-v2) defined
 
 === Define table schema ===
 Table created

src/ai/examples/basic-with-pytidb.md

@@ -15,7 +15,7 @@ This example demonstrates basic CRUD (Create, Read, Update, Delete) operations w
 ## Prerequisites
 
 - **Python 3.10+**
-- **A TiDB Cloud Serverless cluster**: Create a free cluster here: [tidbcloud.com ↗️](https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=pytidb_readme)
+- **A TiDB Cloud Starter cluster**: Create a free cluster here: [tidbcloud.com ↗️](https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=pytidb_readme)
 
 ## How to run
 
@@ -73,13 +73,13 @@ ID: 3, Content: LlamaIndex is a Python library for building AI-powered applicati
 
 === UPDATE ===
 Updated item #1
-After update - ID: 1, Content: TiDB Cloud Serverless is a fully-managed, auto-scaling cloud database service, Metadata: {'category': 'dbass'}
+After update - ID: 1, Content: TiDB Cloud Starter is a fully-managed, auto-scaling cloud database service, Metadata: {'category': 'dbass'}
 
 === DELETE ===
 Deleted item #2
 
 === FINAL STATE ===
-ID: 1, Content: TiDB Cloud Serverless is a fully-managed, auto-scaling cloud database service, Metadata: {'category': 'dbass'}
+ID: 1, Content: TiDB Cloud Starter is a fully-managed, auto-scaling cloud database service, Metadata: {'category': 'dbass'}
 ID: 3, Content: LlamaIndex is a Python library for building AI-powered applications, Metadata: {'category': 'rag'}
 
 === COUNT ROWS ===

src/ai/examples/fulltext-search-with-pytidb.md

@@ -16,7 +16,7 @@ This example demonstrates how to build a E-commerce product search application u
 ## Prerequisites
 
 - **Python 3.10+**
-- **A TiDB Cloud Serverless cluster**: Create a free cluster here: [tidbcloud.com ↗️](https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=pytidb_readme)
+- **A TiDB Cloud Starter cluster**: Create a free cluster here: [tidbcloud.com ↗️](https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=pytidb_readme)
 
 ## How to run
 

src/ai/examples/hybrid-search-with-pytidb.md

@@ -23,7 +23,7 @@ In this demo, we will show you how to use hybrid search to combine vector search
 > 
 > Currently, full-text search is only available for the following product option and region:
 >
-> - TiDB Cloud Serverless: Frankfurt (eu-central-1), Singapore (ap-southeast-1)
+> - TiDB Cloud Starter: Frankfurt (eu-central-1), Singapore (ap-southeast-1)
 
 ## How to run
 

src/ai/examples/image-search-with-pytidb.md

@@ -22,7 +22,7 @@ With just a few lines of code, you can create an intelligent search system that
 ## Prerequisites
 
 - **Python 3.10+**
-- **A TiDB Cloud Serverless cluster**: Create a free cluster here: [tidbcloud.com ↗️](https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=pytidb_readme)
+- **A TiDB Cloud Starter cluster**: Create a free cluster here: [tidbcloud.com ↗️](https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=pytidb_readme)
 - **Jina AI API Key**: Get your free API key at [jina.ai Embeddings ↗️](https://jina.ai/embeddings/)
 
 ## How to run
@@ -54,7 +54,7 @@ TIDB_USERNAME={prefix}.root
 TIDB_PASSWORD={password}
 TIDB_DATABASE=test
 
-JINA_AI_API_KEY={your-jina-api-key}
+JINA_AI_API_KEY={your-jina-ai-api-key}
 EOF
 ```
 

src/ai/examples/index.md

@@ -1,6 +1,6 @@
 ---
 title: Demo Gallery
-description: Explore hands-on demos showcasing how TiDB empowers AI applications. Get started quickly with TiDB Cloud Serverless to build your own AI-powered solutions.
+description: Explore hands-on demos showcasing how TiDB empowers AI applications. Get started quickly with TiDB Cloud Starter to build your own AI-powered solutions.
 hide:
   - navigation
   - toc
@@ -64,7 +64,7 @@ html {
 .gallery-cta-link {
     position: relative;
     text-decoration: none;
-    transition: all 0.2s ease-in-out;
+    transition: all 0.3s ease-in-out;
 }
 
 .gallery-cta-link:hover {
@@ -345,7 +345,7 @@ html {
     <h1 class="gallery-title">Demo Gallery</h1>
     <p class="gallery-description">
       Explore hands-on demos showcasing how TiDB empowers AI applications.<br>
-Get started quickly with <a href='https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=demo_gallery' target='_blank' rel='noopener noreferrer' class='gallery-cta-link'><b>TiDB Cloud Serverless</b></a> to build your own AI-powered solutions.
+Get started quickly with <a href='https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=demo_gallery' target='_blank' rel='noopener noreferrer' class='gallery-cta-link'><b>TiDB Cloud Starter</b></a> to build your own AI-powered solutions.
 
     </p>
   </div>
@@ -389,8 +389,8 @@ Get started quickly with <a href='https://tidbcloud.com/?utm_source=github&utm_m
             </div>
           </a>
           <a href="memory-with-pytidb/" class="gallery-card">
-            <div class="card-image card-gradient" style="background: linear-gradient(135deg, #8b5cf6, var(--brand-color));">
-              <div>💭</div>
+            <div class="card-image">
+              <img src="https://github.com/user-attachments/assets/74dee96b-ea20-49dc-ad27-679faa5bf9b8" alt="Memory Demo">
             </div>
             <div class="card-content">
               <h3 class="card-title">Memory</h3>
@@ -492,8 +492,8 @@ Get started quickly with <a href='https://tidbcloud.com/?utm_source=github&utm_m
             </div>
           </a>
           <a href="memory-with-pytidb/" class="gallery-card">
-            <div class="card-image card-gradient" style="background: linear-gradient(135deg, #8b5cf6, var(--brand-color));">
-              <div>💭</div>
+            <div class="card-image">
+              <img src="https://github.com/user-attachments/assets/74dee96b-ea20-49dc-ad27-679faa5bf9b8" alt="Memory Demo">
             </div>
             <div class="card-content">
               <h3 class="card-title">Memory</h3>
@@ -518,11 +518,11 @@ Get started quickly with <a href='https://tidbcloud.com/?utm_source=github&utm_m
       <div class="gallery-cta">
         <h3 class="cta-title">Ready to build your AI application?</h3>
         <p class="cta-description">
-          Start your AI journey with TiDB Cloud Serverless. Follow our quickstart guide to build your first AI-powered application in minutes, or explore specific examples for your use case.
+          Start your AI journey with TiDB Cloud Starter. Follow our quickstart guide to build your first AI-powered application in minutes, or explore specific examples for your use case.
         </p>
         <div class="cta-buttons">
-          <a href="https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=pytidb_readme" target="_blank" rel="noopener noreferrer" class="btn-primary">Try TiDB Cloud Serverless</a>
-          <a href="quickstart-with-pytidb/" class="btn-secondary">View Quickstart Guide</a>
+          <a href="https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=pytidb_readme" target="_blank" rel="noopener noreferrer" class="btn-primary">Try TiDB Cloud Starter</a>
+          <a href="/ai/quickstart/" class="btn-secondary">View Quickstart Guide</a>
         </div>
       </div>
     </div>

src/ai/examples/memory-with-pytidb.md

@@ -4,60 +4,103 @@ description: "Implement conversation memory for chatbots and conversational AI a
 source_repo: "https://github.com/pingcap/pytidb/tree/main/examples/memory"
 ---
 
-# Agent Memory Examples
+# AI Agent Memory Demo
 
-* Use `pytidb` to connect to TiDB
+This example showcases how to build an intelligent AI agent with persistent memory powered by TiDB's vector search capabilities.
 
-## Prerequisites
+With just a few lines of code, you can create a conversational AI that remembers past interactions and builds context over time.
+
+- 🧠 **Persistent Memory**: The AI remembers conversations across sessions and user interactions
+- 💬 **Interactive Chat**: Both web interface and command-line options for flexible interaction
+- 👤 **Multi-User Support**: Different users can have separate memory contexts
+- 🔍 **Real-Time Memory Viewing**: Visual display of all stored memories in the web interface
 
-* Python 3.10+
-* TiDB server connection parameters, either local or TiDB Cloud
-* OpenAI API key
+<p align="center">
+    <img src="https://github.com/user-attachments/assets/b57ae0fb-9075-43a9-8690-edaa69ca9f40" alt="AI Agent with memory powered by TiDB" width="700"/>
+    <p align="center"><i>AI Agent with memory powered by TiDB</i></p>
+</p>
+
+## Prerequisites
 
+- **Python 3.10+**
+- **A TiDB Cloud Starter cluster**: Create a free cluster here: [tidbcloud.com ↗️](https://tidbcloud.com/?utm_source=github&utm_medium=referral&utm_campaign=pytidb_readme)
+- **OpenAI API Key**: Get your API key at [OpenAI Platform ↗️](https://platform.openai.com/api-keys)
 
 ## How to run
 
-**Step1**: Clone the repo
+**Step 1**: Clone the repository to local
 
 ```bash
 git clone https://github.com/pingcap/pytidb.git
-cd pytidb/examples/memory;
+cd pytidb/examples/memory/
 ```
 
-**Step2**: Install the required packages and setup environment
+**Step 2**: Install the required packages
 
 ```bash
 python -m venv .venv
-source .venv/bin/activate
+source .venv/bin/activate  # Windows: .venv\Scripts\activate
 pip install -r reqs.txt
 ```
 
-**Step3**: Set up environment to connect to storage
+**Step 3**: Set up environment variables
 
-You can find the connection string in the [TiDB Cloud console](https://tidbcloud.com/).
-
-If you are using a local TiDB server, you can set up the environment variable like this:
+Go to [TiDB Cloud console](https://tidbcloud.com/clusters) and get the connection parameters, then set up the environment variable like this:
 
 ```bash
 cat > .env <<EOF
-TIDB_HOST=localhost
+TIDB_HOST={gateway-region}.prod.aws.tidbcloud.com
 TIDB_PORT=4000
-TIDB_USERNAME=root
-TIDB_PASSWORD=
+TIDB_USERNAME={prefix}.root
+TIDB_PASSWORD={password}
 TIDB_DATABASE=test
 
-OPENAI_API_KEY=your_openai_api_key
+OPENAI_API_KEY={your-openai-api-key}
 EOF
 ```
 
-**Step4**: Run the app
+**Step 4**: Run the application
+
+Choose one of the following options:
 
-Run the following command to start the app, feel free to talk with the AI assistant and tell him/her any information about you.
+**Option 1**: Launch Web Application:
+
+```bash
+streamlit run app.py
+```
+
+Visit `http://localhost:8501` in your browser and follow the instructions in the [Interact with memory in Web Application](https://github.com/pingcap/pytidb/tree/main/examples/memory/#interact-with-memory-in-web-application) section to start interacting with the memory-enabled AI assistant.
+
+**Option 2**: Run Command Line Application:
 
 ```bash
 python main.py
 ```
 
+Follow the instructions in the [Interact with memory in Command Line Application](https://github.com/pingcap/pytidb/tree/main/examples/memory/#interact-with-memory-in-command-line-application) section to start interacting with the memory-enabled AI assistant.
+
+## Interact with memory in Web Application
+
+In the web application, you can interact with the AI assistant, the user interface includes:
+
+- **Sidebar**: User settings and chat list.
+- **Main chat area**: Chat interface with the AI assistant.
+- **Memory viewer**: Real-time memory viewer showing stored facts.
+
+You can follow the following steps to check how the memory works:
+
+1. Introduce yourself in the default chat session. For example, "Hello, I am John. I work as a software engineer and love guitar."
+2. You can see the information you provided in the memory viewer.
+3. Click **New chat** in the sidebar to start a new chat session.
+4. Ask "Who am I?" in the new chat session. The AI will recall your information from previous conversations.
+
+
+## Interact with memory in Command Line Application
+
+In the command line application, you can interact with the AI assistant and introduce yourself.
+
+**Example conversation:**
+
 ```plain
 Chat with AI (type 'exit' to quit)
 You: Hello, I am Mini256.
@@ -70,11 +113,11 @@ You: exit
 Goodbye!
 ```
 
-Open another terminal and run the app again, ask the AI assistant "Who am I?":
+After the first conversation, the AI assistant will remember the information you provided and use it to answer future questions.
 
-```bash
-python main.py
-```
+Now, you can start a new chat session and ask the AI assistant "Who am I?".
+
+**Example conversation in another chat session:**
 
 ```plain
 Chat with AI (type 'exit' to quit)
@@ -84,7 +127,8 @@ You: exit
 Goodbye!
 ```
 
-As you can see, the AI assistant remembers you!
+As you can see, the AI assistant remembers you across sessions!
+
 
 
 ---