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new 38680d98314 [opt](vector) vector search python sdk (#2969)
38680d98314 is described below
commit 38680d98314c88c5501a1da9eab39ae7983bb1b3
Author: zhiqiang <[email protected]>
AuthorDate: Fri Nov 7 16:04:32 2025 +0800
[opt](vector) vector search python sdk (#2969)
---
docs/ai/vector-search.md | 6 ++++++
.../docusaurus-plugin-content-docs/current/ai/vector-search.md | 8 ++++++++
.../version-4.x/ai/vector-search.md | 7 +++++++
versioned_docs/version-4.x/ai/vector-search.md | 6 ++++++
4 files changed, 27 insertions(+)
diff --git a/docs/ai/vector-search.md b/docs/ai/vector-search.md
index 54f640a16b5..18644302bde 100644
--- a/docs/ai/vector-search.md
+++ b/docs/ai/vector-search.md
@@ -390,6 +390,12 @@ ANN TopN queries return very few rows from each scanner,
so high pipeline task p
Disable query profiling for ultra latency-sensitive queries.
+## Python SDK
+
+In the era of AI, Python has become the mainstream language for data
processing and intelligent application development. To make it easier for
developers to use Doris's vector search capabilities in Python environments,
some community contributors have developed Python SDKs for Doris.
+
+* https://github.com/uchenily/doris_vector_search: Optimized for vector
distance retrieval, this is currently the highest-performance Doris vector
search Python SDK available.
+
## Usage Limitations
1. The ANN index column must be a NOT NULL `Array<Float>`, and every imported
vector must match the declared `dim`, otherwise an error is thrown.
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/ai/vector-search.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/ai/vector-search.md
index 3e4bd22c15a..d7d0be97fdf 100644
--- a/i18n/zh-CN/docusaurus-plugin-content-docs/current/ai/vector-search.md
+++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/ai/vector-search.md
@@ -363,6 +363,14 @@ Doris 的 ANN 索引建立在 segment 上，segment 过多会引入额外开销
ANN TopN 查询返回行数很少，无需高并行度，建议 `SET parallel_pipeline_task_num = 1`。
### enable_profile = false
若对延迟极其敏感，建议关闭 query profile（`enable_profile=false`）。
+
+## Python SDK
+
+在 AI 时代，Python 已经成为数据处理与智能应用开发的主流语言。为了让开发者更方便地在 Python 环境中使用 Doris
的向量搜索能力，一些社区小伙伴为 Doris 贡献了 Python SDK。
+
+* https://github.com/uchenily/doris_vector_search: 针对向量距离检索做了性能优化，是目前市面上性能最好的
doris vector search python sdk
+
+
## 使用限制
1. Doris 要求 ANN Index 对应的列必须是 NOT NULLABLE 的
`Array<Float>`，并且在后续的导入过程中，需要确保该列的每一个向量的长度均等于索引属性中指定的维度（dim），否则会报错。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-4.x/ai/vector-search.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-4.x/ai/vector-search.md
index 3e4bd22c15a..236cd99abf5 100644
--- a/i18n/zh-CN/docusaurus-plugin-content-docs/version-4.x/ai/vector-search.md
+++ b/i18n/zh-CN/docusaurus-plugin-content-docs/version-4.x/ai/vector-search.md
@@ -363,6 +363,13 @@ Doris 的 ANN 索引建立在 segment 上，segment 过多会引入额外开销
ANN TopN 查询返回行数很少，无需高并行度，建议 `SET parallel_pipeline_task_num = 1`。
### enable_profile = false
若对延迟极其敏感，建议关闭 query profile（`enable_profile=false`）。
+
+## Python SDK
+
+在 AI 时代，Python 已经成为数据处理与智能应用开发的主流语言。为了让开发者更方便地在 Python 环境中使用 Doris
的向量搜索能力，一些社区小伙伴为 Doris 贡献了 Python SDK。
+
+* https://github.com/uchenily/doris_vector_search: 针对向量距离检索做了性能优化，是目前市面上性能最好的
doris vector search python sdk
+
## 使用限制
1. Doris 要求 ANN Index 对应的列必须是 NOT NULLABLE 的
`Array<Float>`，并且在后续的导入过程中，需要确保该列的每一个向量的长度均等于索引属性中指定的维度（dim），否则会报错。
diff --git a/versioned_docs/version-4.x/ai/vector-search.md
b/versioned_docs/version-4.x/ai/vector-search.md
index 54f640a16b5..18644302bde 100644
--- a/versioned_docs/version-4.x/ai/vector-search.md
+++ b/versioned_docs/version-4.x/ai/vector-search.md
@@ -390,6 +390,12 @@ ANN TopN queries return very few rows from each scanner,
so high pipeline task p
Disable query profiling for ultra latency-sensitive queries.
+## Python SDK
+
+In the era of AI, Python has become the mainstream language for data
processing and intelligent application development. To make it easier for
developers to use Doris's vector search capabilities in Python environments,
some community contributors have developed Python SDKs for Doris.
+
+* https://github.com/uchenily/doris_vector_search: Optimized for vector
distance retrieval, this is currently the highest-performance Doris vector
search Python SDK available.
+
## Usage Limitations
1. The ANN index column must be a NOT NULL `Array<Float>`, and every imported
vector must match the declared `dim`, otherwise an error is thrown.
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