From 19677a69047b55f1547d9307c847be02ffd35395 Mon Sep 17 00:00:00 2001 From: Grace Cai Date: Thu, 12 Feb 2026 18:40:29 +0800 Subject: [PATCH] This is an automated cherry-pick of #22449 Signed-off-by: ti-chi-bot --- _docHome.md | 10 +++++++--- releases/release-8.4.0.md | 2 +- releases/release-8.5.0.md | 2 +- 3 files changed, 9 insertions(+), 5 deletions(-) diff --git a/_docHome.md b/_docHome.md index 1ae0068833d2a..a4a91bdaf6780 100644 --- a/_docHome.md +++ b/_docHome.md @@ -26,13 +26,17 @@ Guide for an easy way to get started with TiDB Cloud. - + Connect your application with the languages and frameworks you prefer. +<<<<<<< HEAD +======= + +>>>>>>> f550bb773b (master: update href links of developer guides and vector search docs in _docHome.md (#22449)) Explore native support of Vector Search in {{{ .starter }}} to build your AI application. @@ -80,9 +84,9 @@ Learn how to deploy TiDB locally in a production environment. - + -For application developers using TiDB Self-Managed. +Connect your application with the languages and frameworks you prefer. diff --git a/releases/release-8.4.0.md b/releases/release-8.4.0.md index 9e73a24be1652..a7b0a087b6206 100644 --- a/releases/release-8.4.0.md +++ b/releases/release-8.4.0.md @@ -58,7 +58,7 @@ Quick access: [Quick start](https://docs.pingcap.com/tidb/v8.4/quick-start-with- SQL - Vector search (experimental) + Vector search (experimental) 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. diff --git a/releases/release-8.5.0.md b/releases/release-8.5.0.md index 432d103118945..ad88cb059b1dd 100644 --- a/releases/release-8.5.0.md +++ b/releases/release-8.5.0.md @@ -98,7 +98,7 @@ Compared with the previous LTS 8.1.0, 8.5.0 includes new features, improvements, 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. - Vector search (experimental, introduced in v8.4.0) + Vector search (experimental, introduced in v8.4.0) 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.