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Jul 14, 2025
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release-8.5: support TiDB Cloud Dedicated #21368

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e4ddd14
add v8.4 and v8.5 newly supported features to the cloud toc
qiancai Jul 10, 2025
4d9ae28
update the vector search support info to indicate the support on TiDB…
qiancai Jul 10, 2025
d193e6f
update the vector search support info
qiancai Jul 10, 2025
08cd053
fix two broken links for tidb cloud
qiancai Jul 11, 2025
b571027
add the note to indicate that vector search is in beta for tidb clooud
qiancai Jul 11, 2025
5e49dc9
update the vector search support info
qiancai Jul 11, 2025
00bb33e
add a beta note for Vector index
qiancai Jul 14, 2025
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2 changes: 2 additions & 0 deletions TOC-tidb-cloud.md
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Expand Up @@ -237,6 +237,7 @@
- [SQL Plan Management](/sql-plan-management.md)
- [The Blocklist of Optimization Rules and Expression Pushdown](/blocklist-control-plan.md)
- [Optimizer Fix Controls](/optimizer-fix-controls.md)
- [Index Advisor](/index-advisor.md)
- [TiKV Follower Read](/follower-read.md)
- [Coprocessor Cache](/coprocessor-cache.md)
- Garbage Collection (GC)
Expand Down Expand Up @@ -716,6 +717,7 @@
- [Metadata Lock](/metadata-lock.md)
- [Use UUIDs](/best-practices/uuid.md)
- [TiDB Accelerated Table Creation](/accelerated-table-creation.md)
- [Schema Cache](/schema-cache.md)
- API Reference ![BETA](/media/tidb-cloud/blank_transparent_placeholder.png)
- [Overview](/tidb-cloud/api-overview.md)
- v1beta1
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4 changes: 4 additions & 0 deletions functions-and-operators/json-functions/json-functions-validate.md
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Expand Up @@ -7,6 +7,10 @@ summary: Learn about JSON functions that validate JSON documents.

This document describes JSON functions that validate JSON documents.

> **Note:**
>
> Currently, this feature is not available on [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless) clusters.

## [JSON_SCHEMA_VALID()](https://dev.mysql.com/doc/refman/8.0/en/json-validation-functions.html#function_json-schema-valid)

The `JSON_SCHEMA_VALID(schema, json_doc)` function validate a JSON document against a schema to ensure data integrity and consistency.
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4 changes: 4 additions & 0 deletions index-advisor.md
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Expand Up @@ -7,6 +7,10 @@ summary: Learn how to optimize query performance with TiDB Index Advisor.

In v8.5.0, TiDB introduces the Index Advisor feature, which helps optimize your workload by recommending indexes that improve query performance. Using the new SQL statement, `RECOMMEND INDEX`, you can generate index recommendations for a single query or an entire workload. To avoid the resource-intensive process of physically creating indexes for evaluation, TiDB supports [hypothetical indexes](#hypothetical-indexes), which are logical indexes that are not materialized.

> **Note:**
>
> Currently, this feature is not available on [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless) clusters.

The Index Advisor analyzes queries to identify indexable columns from clauses such as `WHERE`, `GROUP BY`, and `ORDER BY`. Then, it generates index candidates and estimates their performance benefits using hypothetical indexes. TiDB uses a genetic search algorithm to select the optimal set of indexes starting with single-column indexes and iteratively exploring multi-column indexes, leveraging a "What-If" analysis to evaluate potential indexes based on their impact on optimizer plan costs. The advisor recommends indexes when they reduce the overall cost compared to executing queries without them.

In addition to [recommending new indexes](#recommend-indexes-using-the-recommend-index-statement), the Index Advisor also suggests [removing inactive indexes](#remove-unused-indexes) to ensure efficient index management.
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16 changes: 16 additions & 0 deletions schema-cache.md
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Expand Up @@ -7,6 +7,10 @@

In some multi-tenant scenarios, there might be hundreds of thousands or even millions of databases and tables. Loading the schema information of all these databases and tables into memory would not only consume a large amount of memory but also degrade access performance. To address this issue, TiDB introduces a schema caching mechanism similar to LRU (Least Recently Used). Only the schema information of the most recently accessed databases and tables is cached in memory.

> **Note:**
>
> Currently, this feature is not available on [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless) clusters.

## Configure schema cache

You can enable the schema caching feature by configuring the system variable [`tidb_schema_cache_size`](/system-variables.md#tidb_schema_cache_size-new-in-v800).
Expand All @@ -16,9 +20,21 @@
- In scenarios with a large number of databases and tables (for example, more than 100,000 databases and tables) or when the number of databases and tables is large enough to affect system performance, it is recommended to enable the schema caching feature.
- You can monitor the hit rate of the schema cache by observing the subpanel **Infoschema v2 Cache Operation** under the **Schema load** section in TiDB Dashboard. If the hit rate is low, you can increase the value of [`tidb_schema_cache_size`](/system-variables.md#tidb_schema_cache_size-new-in-v800).
- You can monitor the current size of the schema cache being used by observing the subpanel **Infoschema v2 Cache Size** under the **Schema load** section in TiDB Dashboard.

<CustomContent platform="tidb">

- It is recommended to disable [`performance.force-init-stats`](/tidb-configuration-file.md#force-init-stats-new-in-v657-and-v710) to reduce TiDB startup time.
- If you need to create a large number of tables (for example, more than 100,000 tables), it is recommended to set the [`split-table`](/tidb-configuration-file.md#split-table) parameter to `false` to reduce the number of Regions and thus decrease TiKV's memory usage.

</CustomContent>

<CustomContent platform="tidb-cloud">

- It is recommended to disable [`performance.force-init-stats`](https://docs.pingcap.com/zh/tidb/stable/tidb-configuration-file/#force-init-stats-new-in-v657-and-v710) to reduce TiDB startup time.
- If you need to create a large number of tables (for example, more than 100,000 tables), it is recommended to set the [`split-table`](https://docs.pingcap.com/zh/tidb/stable/tidb-configuration-file/#split-table) parameter to `false` to reduce the number of Regions and thus decrease TiKV's memory usage.

Check warning on line 34 in schema-cache.md

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GitHub Actions / vale 

[vale] reported by reviewdog 🐶
[PingCAP.Ambiguous] Consider using a clearer word than 'a large number of' because it may cause confusion.

Raw Output:
{"message": "[PingCAP.Ambiguous] Consider using a clearer word than 'a large number of' because it may cause confusion.", "location": {"path": "schema-cache.md", "range": {"start": {"line": 34, "column": 25}}}, "severity": "INFO"}

</CustomContent>

## Known limitations

In scenarios with a large number of databases and tables, the following known issues exist:
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4 changes: 4 additions & 0 deletions sql-statements/sql-statement-admin-alter-ddl.md
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Expand Up @@ -5,6 +5,10 @@ summary: An overview of the usage of `ADMIN ALTER DDL JOBS` for the TiDB databas

# ADMIN ALTER DDL JOBS

> **Note:**
>
> Currently, this feature is not available on [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless) clusters.

The `ADMIN ALTER DDL JOBS` statement allows you to modify the parameter of a single running DDL job. For example:

```sql
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8 changes: 3 additions & 5 deletions tidb-cloud/database-schema-concepts.md
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Expand Up @@ -119,11 +119,9 @@ In TiDB, you can either [add a secondary index to an existing table](/develop/de

### Vector index

For the following TiDB deployment options, TiDB supports vector data types and vector search indexes.

- TiDB Cloud Serverless

- TiDB Self-Managed v8.4.0 or later versions
> **Note:**
>
> The vector index feature is in beta. It might be changed without prior notice. If you find a bug, you can report an [issue](https://github.com/pingcap/tidb/issues) on GitHub.

In TiDB, a vector index is a specialized index designed for efficient approximate nearest neighbor (ANN) searches over columns containing vector data. Vector indexes, particularly the HNSW (Hierarchical Navigable Small World) algorithm, allow K-nearest neighbors (KNN) searches to identify the closest data points in a vector space quickly. This significantly speeds up query performance, enabling results in milliseconds compared to brute-force methods.

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4 changes: 4 additions & 0 deletions tidb-cloud/vector-search-changelogs.md
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Expand Up @@ -5,6 +5,10 @@ summary: Learn about the new features, compatibility changes, improvements, and

# Vector Search Changelogs

## July 15, 2025

- TiDB Vector Search (beta) is now available for TiDB Cloud Dedicated (TiDB >= v8.4) clusters.

## June 25, 2024

- TiDB Vector Search (beta) is now available for TiDB Cloud Serverless clusters in all regions for all users.
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10 changes: 9 additions & 1 deletion tidb-cloud/vector-search-integrate-with-amazon-bedrock.md
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Expand Up @@ -7,9 +7,17 @@ summary: Learn how to integrate TiDB Vector Search with Amazon Bedrock to build

This tutorial demonstrates how to integrate the [vector search](/vector-search/vector-search-overview.md) feature of TiDB with [Amazon Bedrock](https://aws.amazon.com/bedrock/) to build a Retrieval-Augmented Generation (RAG) Q&A bot.

<CustomContent platform="tidb-cloud">

> **Note:**
>
> The vector search feature is in beta. It might be changed without prior notice. If you find a bug, you can report an [issue](https://github.com/pingcap/tidb/issues) on GitHub.

</CustomContent>

> **Note**
>
> TiDB Vector Search is only available for TiDB Self-Managed (TiDB >= v8.4) and [TiDB Cloud Serverless](/tidb-cloud/select-cluster-tier.md#tidb-cloud-serverless). It is not available for [TiDB Cloud Dedicated](/tidb-cloud/select-cluster-tier.md#tidb-cloud-dedicated).
> The vector search feature is available on TiDB Self-Managed, [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless), and [TiDB Cloud Dedicated](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-dedicated). For TiDB Self-Managed and TiDB Cloud Dedicated, the TiDB version must be v8.4.0 or later (v8.5.0 or later is recommended).

> **Tip**
>
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6 changes: 5 additions & 1 deletion tidb-resource-control-background-tasks.md
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Expand Up @@ -8,9 +8,13 @@ summary: Introduces how to control background tasks through Resource Control.
> **Warning:**
>
> This feature is experimental. It is not recommended that you use it in the production environment. This feature might be changed or removed without prior notice. If you find a bug, you can report an [issue](https://docs.pingcap.com/tidb/stable/support) on GitHub.
>
>
> The background task management in resource control is based on TiKV's dynamic adjustment of resource quotas for CPU/IO utilization. Therefore, it relies on the available resource quota of each instance. If multiple components or instances are deployed on a single server, it is mandatory to set the appropriate resource quota for each instance through `cgroup`. It is difficult to achieve the expected effect in deployment with shared resources such as TiUP Playground.

> **Note:**
>
> This feature is not available on [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless) clusters.

Background tasks, such as data backup and automatic statistics collection, are low-priority but consume many resources. These tasks are usually triggered periodically or irregularly. During execution, they consume a lot of resources, thus affecting the performance of online high-priority tasks.

Starting from v7.4.0, the [TiDB resource control](/tidb-resource-control-ru-groups.md) feature supports managing background tasks. When a task is marked as a background task, TiKV dynamically limits the resources used by this type of task to avoid the impact on the performance of other foreground tasks. TiKV monitors the CPU and IO resources consumed by all foreground tasks in real time, and calculates the resource threshold that can be used by background tasks based on the total resource limit of the instance. All background tasks are restricted by this threshold during execution.
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4 changes: 4 additions & 0 deletions tidb-resource-control-runaway-queries.md
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Expand Up @@ -5,6 +5,10 @@ summary: Introduces how to control and degrade queries with excessive resource c

# Manage Queries That Consume More Resources Than Expected (Runaway Queries)

> **Note:**
>
> This feature is not available on [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless) clusters.

A runaway query is a query that consumes more time or resources than expected. The term **runaway queries** is used in the following to describe the feature of managing the runaway query.

- Starting from v7.2.0, the resource control feature introduces the management of runaway queries. You can set criteria for a resource group to identify runaway queries and automatically take actions to prevent them from exhausting resources and affecting other queries. You can manage runaway queries for a resource group by including the `QUERY_LIMIT` field in [`CREATE RESOURCE GROUP`](/sql-statements/sql-statement-create-resource-group.md) or [`ALTER RESOURCE GROUP`](/sql-statements/sql-statement-alter-resource-group.md).
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10 changes: 9 additions & 1 deletion vector-search/vector-search-data-types.md
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Expand Up @@ -15,9 +15,17 @@ A vector is a sequence of floating-point numbers, such as `[0.3, 0.5, -0.1, ...]

</CustomContent>

<CustomContent platform="tidb-cloud">

> **Note:**
>
> This feature is in beta. It might be changed without prior notice. If you find a bug, you can report an [issue](https://github.com/pingcap/tidb/issues) on GitHub.

</CustomContent>

> **Note:**
>
> Vector data types are only available for TiDB Self-Managed clusters and [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless) clusters.
> Vector data types are available on TiDB Self-Managed, [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless), and [TiDB Cloud Dedicated](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-dedicated). For TiDB Self-Managed and TiDB Cloud Dedicated, the TiDB version must be v8.4.0 or later (v8.5.0 or later is recommended).

The following Vector data types are currently available:

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10 changes: 9 additions & 1 deletion vector-search/vector-search-functions-and-operators.md
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Expand Up @@ -15,9 +15,17 @@ This document lists the functions and operators available for Vector data types.

</CustomContent>

<CustomContent platform="tidb-cloud">

> **Note:**
>
> This feature is in beta. It might be changed without prior notice. If you find a bug, you can report an [issue](https://github.com/pingcap/tidb/issues) on GitHub.

</CustomContent>

> **Note:**
>
> Vector data types and these vector functions are only available for TiDB Self-Managed clusters and [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless) clusters.
> Vector data types and these vector functions are available on TiDB Self-Managed, [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless), and [TiDB Cloud Dedicated](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-dedicated). For TiDB Self-Managed and TiDB Cloud Dedicated, the TiDB version must be v8.4.0 or later (v8.5.0 or later is recommended).

## Vector functions

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10 changes: 9 additions & 1 deletion vector-search/vector-search-get-started-using-python.md
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Expand Up @@ -17,9 +17,17 @@ Throughout this tutorial, you will develop this AI application using [TiDB Vecto

</CustomContent>

<CustomContent platform="tidb-cloud">

> **Note:**
>
> The vector search feature is in beta. It might be changed without prior notice. If you find a bug, you can report an [issue](https://github.com/pingcap/tidb/issues) on GitHub.

</CustomContent>

> **Note:**
>
> The vector search feature is only available for TiDB Self-Managed clusters and [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless) clusters.
> The vector search feature is available on TiDB Self-Managed, [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless), and [TiDB Cloud Dedicated](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-dedicated). For TiDB Self-Managed and TiDB Cloud Dedicated, the TiDB version must be v8.4.0 or later (v8.5.0 or later is recommended).

## Prerequisites

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10 changes: 9 additions & 1 deletion vector-search/vector-search-get-started-using-sql.md
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Expand Up @@ -22,9 +22,17 @@ This tutorial demonstrates how to get started with TiDB Vector Search just using

</CustomContent>

<CustomContent platform="tidb-cloud">

> **Note:**
>
> The vector search feature is in beta. It might be changed without prior notice. If you find a bug, you can report an [issue](https://github.com/pingcap/tidb/issues) on GitHub.

</CustomContent>

> **Note:**
>
> The vector search feature is only available for TiDB Self-Managed clusters and [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless) clusters.
> The vector search feature is available on TiDB Self-Managed, [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless), and [TiDB Cloud Dedicated](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-dedicated). For TiDB Self-Managed and TiDB Cloud Dedicated, the TiDB version must be v8.4.0 or later (v8.5.0 or later is recommended).

## Prerequisites

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10 changes: 9 additions & 1 deletion vector-search/vector-search-improve-performance.md
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Expand Up @@ -15,9 +15,17 @@ TiDB Vector Search enables you to perform Approximate Nearest Neighbor (ANN) que

</CustomContent>

<CustomContent platform="tidb-cloud">

> **Note:**
>
> The vector search feature is in beta. It might be changed without prior notice. If you find a bug, you can report an [issue](https://github.com/pingcap/tidb/issues) on GitHub.

</CustomContent>

> **Note:**
>
> The vector search feature is only available for TiDB Self-Managed clusters and [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless) clusters.
> The vector search feature is available on TiDB Self-Managed, [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless), and [TiDB Cloud Dedicated](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-dedicated). For TiDB Self-Managed and TiDB Cloud Dedicated, the TiDB version must be v8.4.0 or later (v8.5.0 or later is recommended).

## Add vector search index for vector columns

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10 changes: 9 additions & 1 deletion vector-search/vector-search-index.md
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Expand Up @@ -17,9 +17,17 @@ To improve search efficiency, you can create vector search indexes in TiDB for a

</CustomContent>

<CustomContent platform="tidb-cloud">

> **Note:**
>
> The vector search feature is in beta. It might be changed without prior notice. If you find a bug, you can report an [issue](https://github.com/pingcap/tidb/issues) on GitHub.

</CustomContent>

> **Note:**
>
> The vector search feature is only available for TiDB Self-Managed clusters and [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless) clusters.
> The vector search feature is available on TiDB Self-Managed, [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless), and [TiDB Cloud Dedicated](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-dedicated). For TiDB Self-Managed and TiDB Cloud Dedicated, the TiDB version must be v8.4.0 or later (v8.5.0 or later is recommended).

Currently, TiDB supports the [HNSW (Hierarchical Navigable Small World)](https://en.wikipedia.org/wiki/Hierarchical_navigable_small_world) vector search index algorithm.

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10 changes: 9 additions & 1 deletion vector-search/vector-search-integrate-with-django-orm.md
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Expand Up @@ -15,9 +15,17 @@ This tutorial walks you through how to use [Django](https://www.djangoproject.co

</CustomContent>

<CustomContent platform="tidb-cloud">

> **Note:**
>
> The vector search feature is in beta. It might be changed without prior notice. If you find a bug, you can report an [issue](https://github.com/pingcap/tidb/issues) on GitHub.

</CustomContent>

> **Note:**
>
> The vector search feature is only available for TiDB Self-Managed clusters and [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless) clusters.
> The vector search feature is available on TiDB Self-Managed, [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless), and [TiDB Cloud Dedicated](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-dedicated). For TiDB Self-Managed and TiDB Cloud Dedicated, the TiDB version must be v8.4.0 or later (v8.5.0 or later is recommended).

## Prerequisites

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10 changes: 9 additions & 1 deletion vector-search/vector-search-integrate-with-jinaai-embedding.md
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Expand Up @@ -15,9 +15,17 @@ This tutorial walks you through how to use [Jina AI](https://jina.ai/) to genera

</CustomContent>

<CustomContent platform="tidb-cloud">

> **Note:**
>
> The vector search feature is in beta. It might be changed without prior notice. If you find a bug, you can report an [issue](https://github.com/pingcap/tidb/issues) on GitHub.

</CustomContent>

> **Note:**
>
> The vector search feature is only available for TiDB Self-Managed clusters and [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless) clusters.
> The vector search feature is available on TiDB Self-Managed, [{{{ .starter }}}](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-serverless), and [TiDB Cloud Dedicated](https://docs.pingcap.com/tidbcloud/select-cluster-tier#tidb-cloud-dedicated). For TiDB Self-Managed and TiDB Cloud Dedicated, the TiDB version must be v8.4.0 or later (v8.5.0 or later is recommended).

## Prerequisites

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