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master: update href links of developer guides and vector search docs in _docHome.md #22449

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ti-chi-bot merged 2 commits into from
Feb 12, 2026
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master: update href links of developer guides and vector search docs in _docHome.md #22449

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ee7724b
Update _docHome.md
qiancai Feb 11, 2026
126b99a
update two ai doc links
qiancai Feb 12, 2026
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8 changes: 4 additions & 4 deletions _docHome.md
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Expand Up @@ -26,13 +26,13 @@ Guide for an easy way to get started with TiDB Cloud.

</DocHomeCard>

<DocHomeCard href="/tidbcloud/dev-guide-overview" label="Developer Guide" icon="cloud-developer-mauve">
<DocHomeCard href="/developer/" label="Developer Guide" icon="cloud-developer-mauve">

Connect your application with the languages and frameworks you prefer.

</DocHomeCard>

<DocHomeCard href="/tidbcloud/vector-search-overview" label="Vector Search in TiDB Cloud (Beta)" icon="cloud-vector-mauve">
<DocHomeCard href="/ai/vector-search-overview" label="Vector Search (Beta)" icon="cloud-vector-mauve">

Explore native support of Vector Search in TiDB Cloud to build your AI application.

Expand Down Expand Up @@ -74,9 +74,9 @@ Learn how to deploy TiDB locally in a production environment.

</DocHomeCard>

<DocHomeCard href="/tidb/stable/dev-guide-overview" label="Developer Guide" icon="oss-developer-blue">
<DocHomeCard href="/developer/" label="Developer Guide" icon="oss-developer-blue">

For application developers using TiDB Self-Managed.
Connect your application with the languages and frameworks you prefer.

</DocHomeCard>

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2 changes: 1 addition & 1 deletion releases/release-8.4.0.md
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Expand Up @@ -58,7 +58,7 @@ Quick access: [Quick start](https://docs.pingcap.com/tidb/v8.4/quick-start-with-
</tr>
<tr>
<td rowspan="1">SQL</td>
<td><a href="https://docs.pingcap.com/tidb/v8.4/vector-search-overview">Vector search</a> (experimental)</td>
<td><a href="https://docs.pingcap.com/ai/vector-search-overview">Vector search</a> (experimental)</td>
<td>Vector search is a search method based on data semantics, which provides more relevant search results. As one of the core functions of AI and large language models (LLMs), vector search can be used in various scenarios such as Retrieval-Augmented Generation (RAG), semantic search, and recommendation systems.</td>
</tr>
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2 changes: 1 addition & 1 deletion releases/release-8.5.0.md
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Expand Up @@ -98,7 +98,7 @@ Compared with the previous LTS 8.1.0, 8.5.0 includes new features, improvements,
<td>Foreign keys are constraints in a database that establish relationships between tables, ensuring data consistency and integrity. They ensure that the data referenced in a child table exist in the parent table, preventing the insertion of invalid data. Foreign keys also support cascading operations (such as automatic synchronization during deletion or update), simplifying business logic implementation and reducing the complexity of manually maintaining data relationships.</td>
</tr>
<tr>
<td><a href="https://docs.pingcap.com/tidb/v8.5/vector-search-overview">Vector search</a> (experimental, introduced in v8.4.0) </td>
<td><a href="https://docs.pingcap.com/ai/vector-search-overview">Vector search</a> (experimental, introduced in v8.4.0) </td>
<td>Vector search is a search method based on data semantics, which provides more relevant search results. As one of the core functions of AI and large language models (LLMs), vector search can be used in various scenarios such as Retrieval-Augmented Generation (RAG), semantic search, and recommendation systems.</td>
</tr>
<tr>
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