diff --git a/README-zh.md b/README-zh.md
index de80a076..ed70d108 100644
--- a/README-zh.md
+++ b/README-zh.md
@@ -267,7 +267,7 @@ if __name__ == "__main__":
 | **embedding_func_max_async** | `int` | 最大并发异步嵌入进程数 | `16` |
 | **llm_model_func** | `callable` | LLM生成的函数 | `gpt_4o_mini_complete` |
 | **llm_model_name** | `str` | 用于生成的LLM模型名称 | `meta-llama/Llama-3.2-1B-Instruct` |
-| **summary_max_tokens** | `int` | 生成实体关系摘要时送给LLM的最大令牌数 | `32000`（由环境变量 SUMMARY_MAX_TOKENS 设置） |
+| **summary_max_tokens** | `int` | 生成实体关系摘要时送给LLM的最大令牌数 | `30000`（由环境变量 SUMMARY_MAX_TOKENS 设置） |
 | **llm_model_max_async** | `int` | 最大并发异步LLM进程数 | `4`（默认值由环境变量MAX_ASYNC更改） |
 | **llm_model_kwargs** | `dict` | LLM生成的附加参数 | |
 | **vector_db_storage_cls_kwargs** | `dict` | 向量数据库的附加参数，如设置节点和关系检索的阈值 | cosine_better_than_threshold: 0.2（默认值由环境变量COSINE_THRESHOLD更改） |
diff --git a/README.md b/README.md
index 3bbd39be..893af27a 100644
--- a/README.md
+++ b/README.md
@@ -274,7 +274,7 @@ A full list of LightRAG init parameters:
 | **embedding_func_max_async** | `int` | Maximum number of concurrent asynchronous embedding processes | `16` |
 | **llm_model_func** | `callable` | Function for LLM generation | `gpt_4o_mini_complete` |
 | **llm_model_name** | `str` | LLM model name for generation | `meta-llama/Llama-3.2-1B-Instruct` |
-| **summary_max_tokens** | `int` | Maximum tokens send to LLM to generate entity relation summaries | `32000`（configured by env var SUMMARY_MAX_TOKENS) |
+| **summary_max_tokens** | `int` | Maximum tokens send to LLM to generate entity relation summaries | `30000`（configured by env var SUMMARY_MAX_TOKENS) |
 | **llm_model_max_async** | `int` | Maximum number of concurrent asynchronous LLM processes | `4`（default value changed by env var MAX_ASYNC) |
 | **llm_model_kwargs** | `dict` | Additional parameters for LLM generation | |
 | **vector_db_storage_cls_kwargs** | `dict` | Additional parameters for vector database, like setting the threshold for nodes and relations retrieval | cosine_better_than_threshold: 0.2（default value changed by env var COSINE_THRESHOLD) |
diff --git a/env.example b/env.example
index 765d0b62..47a2ff60 100644
--- a/env.example
+++ b/env.example
@@ -107,7 +107,7 @@ ENABLE_LLM_CACHE_FOR_EXTRACT=true
 ### Entity and relation summarization configuration
 ### Number of duplicated entities/edges to trigger LLM re-summary on merge (at least 3 is recommented)， and max tokens send to LLM
 # FORCE_LLM_SUMMARY_ON_MERGE=4
-# SUMMARY_MAX_TOKENS=10000
+# SUMMARY_MAX_TOKENS=30000
 ### Maximum number of entity extraction attempts for ambiguous content
 # MAX_GLEANING=1
 
diff --git a/lightrag/constants.py b/lightrag/constants.py
index aab20665..d9ab121d 100644
--- a/lightrag/constants.py
+++ b/lightrag/constants.py
@@ -14,7 +14,7 @@ DEFAULT_MAX_GRAPH_NODES = 1000
 DEFAULT_SUMMARY_LANGUAGE = "English"  # Default language for summaries
 DEFAULT_FORCE_LLM_SUMMARY_ON_MERGE = 4
 DEFAULT_MAX_GLEANING = 1
-DEFAULT_SUMMARY_MAX_TOKENS = 10000  # Default maximum token size
+DEFAULT_SUMMARY_MAX_TOKENS = 30000  # Default maximum token size
 
 # Separator for graph fields
 GRAPH_FIELD_SEP = "<SEP>"