From 58a62661ff60b7d3bb94046ba77b55013a4a79b6 Mon Sep 17 00:00:00 2001 From: qiancai Date: Wed, 3 Jun 2026 18:47:29 +0800 Subject: [PATCH 1/2] Fix broken external documentation links --- ai/integrations/vector-search-integrate-with-langchain.md | 2 +- ticdc/ticdc-debezium.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/ai/integrations/vector-search-integrate-with-langchain.md b/ai/integrations/vector-search-integrate-with-langchain.md index b66cc877e9a8f..bdaf0b039fd57 100644 --- a/ai/integrations/vector-search-integrate-with-langchain.md +++ b/ai/integrations/vector-search-integrate-with-langchain.md @@ -15,7 +15,7 @@ This tutorial demonstrates how to integrate [TiDB Vector Search](/ai/concepts/ve > **Tip** > -> You can view the complete [sample code](https://docs.langchain.com/oss/python/integrations/vectorstores/tidb_vector) in LangChain documentation. +> You can view the [vector store integrations](https://docs.langchain.com/oss/python/integrations/vectorstores) in LangChain documentation. ## Prerequisites diff --git a/ticdc/ticdc-debezium.md b/ticdc/ticdc-debezium.md index f5b4ab2cc36a2..05a580652e11b 100644 --- a/ticdc/ticdc-debezium.md +++ b/ticdc/ticdc-debezium.md @@ -781,7 +781,7 @@ The key fields of the preceding JSON data are explained as follows: ### Data type mapping -The data format mapping in the TiCDC Debezium message basically follows the [Debezium data type mapping rules](https://debezium.io/documentation/reference/2.4/connectors/mysql.html#mysql-data-types), which is generally consistent with the native message of the Debezium Connector for MySQL. However, for some data types, the following differences exist between TiCDC Debezium and Debezium Connector messages: +The data format mapping in the TiCDC Debezium message basically follows the [Debezium data type mapping rules](https://debezium.io/documentation/reference/stable/connectors/mysql.html#mysql-data-types), which is generally consistent with the native message of the Debezium Connector for MySQL. However, for some data types, the following differences exist between TiCDC Debezium and Debezium Connector messages: - Currently, TiDB does not support spatial data types, including GEOMETRY, LINESTRING, POLYGON, MULTIPOINT, MULTILINESTRING, MULTIPOLYGON, and GEOMETRYCOLLECTION. From fafbbdd9e09034195cf1cb60e1fff541c6ee7dc7 Mon Sep 17 00:00:00 2001 From: Grace Cai Date: Wed, 3 Jun 2026 18:54:37 +0800 Subject: [PATCH 2/2] Update ai/integrations/vector-search-integrate-with-langchain.md --- ai/integrations/vector-search-integrate-with-langchain.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ai/integrations/vector-search-integrate-with-langchain.md b/ai/integrations/vector-search-integrate-with-langchain.md index bdaf0b039fd57..8c2e1da0f3489 100644 --- a/ai/integrations/vector-search-integrate-with-langchain.md +++ b/ai/integrations/vector-search-integrate-with-langchain.md @@ -15,7 +15,7 @@ This tutorial demonstrates how to integrate [TiDB Vector Search](/ai/concepts/ve > **Tip** > -> You can view the [vector store integrations](https://docs.langchain.com/oss/python/integrations/vectorstores) in LangChain documentation. +> You can view the complete sample code in . ## Prerequisites