Skip to content

Commit

Permalink
Preview PR pingcap/docs#18829 and this preview is triggered from commit
Browse files Browse the repository at this point in the history
  • Loading branch information
Docsite Preview Bot committed Sep 30, 2024
1 parent 6210297 commit 3085d2e
Showing 1 changed file with 2 additions and 2 deletions.
4 changes: 2 additions & 2 deletions markdown-pages/en/tidb/master/releases/release-8.4.0.md
Original file line number Diff line number Diff line change
Expand Up @@ -220,7 +220,7 @@ Quick access: [Quick start](https://docs.pingcap.com/tidb/v8.4/quick-start-with-

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.

Starting from v8.4.0, TiDB supports [vector data types](vector-search-data-types.md) and [vector search indexes](vector-search-index.md), offering powerful vector search capabilities. TiDB vector data types support up to 16,383 dimensions and support various [distance functions](/vector-search-functions-and-operators.md#vector-functions), including L2 distance (Euclidean distance), cosine distance, negative inner product, and L1 distance (Manhattan distance).
Starting from v8.4.0, TiDB supports [vector data types](/vector-search-data-types.md) and [vector search indexes](/vector-search-index.md), offering powerful vector search capabilities. TiDB vector data types support up to 16,383 dimensions and support various [distance functions](/vector-search-functions-and-operators.md#vector-functions), including L2 distance (Euclidean distance), cosine distance, negative inner product, and L1 distance (Manhattan distance).

To start vector search, you only need to create a table with vector data types, insert vector data, and then perform a query of vector data. You can also perform mixed queries of vector data and traditional relational data.

Expand All @@ -240,7 +240,7 @@ Quick access: [Quick start](https://docs.pingcap.com/tidb/v8.4/quick-start-with-

### DB operations

* BR supports client-side encryption of log backup data (experimental) [55834](https://github.com/pingcap/tidb/issues/55834) @[Tristan1900](https://github.com/Tristan1900) **tw@qiancai** <!--1920-->
* BR supports client-side encryption of log backup data (experimental) [#55834](https://github.com/pingcap/tidb/issues/55834) @[Tristan1900](https://github.com/Tristan1900) **tw@qiancai** <!--1920-->

In earlier TiDB versions, only snapshot backup data can be encrypted on the client side. Starting from v8.4.0, log backup data can also be encrypted on the client side. Before uploading log backup data to your backup storage, you can encrypt the backup data to ensure its security via one of the following methods:

Expand Down

0 comments on commit 3085d2e

Please sign in to comment.