diff --git a/graphiti_core/llm_client/client.py b/graphiti_core/llm_client/client.py
index 9f7558c1..b06f870d 100644
--- a/graphiti_core/llm_client/client.py
+++ b/graphiti_core/llm_client/client.py
@@ -32,9 +32,19 @@ from .errors import RateLimitError
 DEFAULT_TEMPERATURE = 0
 DEFAULT_CACHE_DIR = './llm_cache'
 
-MULTILINGUAL_EXTRACTION_RESPONSES = (
-    '\n\nAny extracted information should be returned in the same language as it was written in.'
-)
+
+def get_extraction_language_instruction() -> str:
+    """Returns instruction for language extraction behavior.
+
+    Override this function to customize language extraction:
+    - Return empty string to disable multilingual instructions
+    - Return custom instructions for specific language requirements
+
+    Returns:
+        str: Language instruction to append to system messages
+    """
+    return '\n\nAny extracted information should be returned in the same language as it was written in.'
+
 
 logger = logging.getLogger(__name__)
 
@@ -145,7 +155,7 @@ class LLMClient(ABC):
             )
 
         # Add multilingual extraction instructions
-        messages[0].content += MULTILINGUAL_EXTRACTION_RESPONSES
+        messages[0].content += get_extraction_language_instruction()
 
         if self.cache_enabled and self.cache_dir is not None:
             cache_key = self._get_cache_key(messages)
diff --git a/graphiti_core/llm_client/gemini_client.py b/graphiti_core/llm_client/gemini_client.py
index a8422dfd..f80b2f7e 100644
--- a/graphiti_core/llm_client/gemini_client.py
+++ b/graphiti_core/llm_client/gemini_client.py
@@ -23,7 +23,7 @@ from typing import TYPE_CHECKING, ClassVar
 from pydantic import BaseModel
 
 from ..prompts.models import Message
-from .client import MULTILINGUAL_EXTRACTION_RESPONSES, LLMClient
+from .client import LLMClient, get_extraction_language_instruction
 from .config import LLMConfig, ModelSize
 from .errors import RateLimitError
 
@@ -376,7 +376,7 @@ class GeminiClient(LLMClient):
         last_output = None
 
         # Add multilingual extraction instructions
-        messages[0].content += MULTILINGUAL_EXTRACTION_RESPONSES
+        messages[0].content += get_extraction_language_instruction()
 
         while retry_count < self.MAX_RETRIES:
             try:
diff --git a/graphiti_core/llm_client/openai_base_client.py b/graphiti_core/llm_client/openai_base_client.py
index e3332bc2..cdda179c 100644
--- a/graphiti_core/llm_client/openai_base_client.py
+++ b/graphiti_core/llm_client/openai_base_client.py
@@ -25,7 +25,7 @@ from openai.types.chat import ChatCompletionMessageParam
 from pydantic import BaseModel
 
 from ..prompts.models import Message
-from .client import MULTILINGUAL_EXTRACTION_RESPONSES, LLMClient
+from .client import LLMClient, get_extraction_language_instruction
 from .config import DEFAULT_MAX_TOKENS, LLMConfig, ModelSize
 from .errors import RateLimitError, RefusalError
 
@@ -184,7 +184,7 @@ class BaseOpenAIClient(LLMClient):
         last_error = None
 
         # Add multilingual extraction instructions
-        messages[0].content += MULTILINGUAL_EXTRACTION_RESPONSES
+        messages[0].content += get_extraction_language_instruction()
 
         while retry_count <= self.MAX_RETRIES:
             try:
diff --git a/graphiti_core/llm_client/openai_generic_client.py b/graphiti_core/llm_client/openai_generic_client.py
index 571cf902..c4f4d212 100644
--- a/graphiti_core/llm_client/openai_generic_client.py
+++ b/graphiti_core/llm_client/openai_generic_client.py
@@ -25,7 +25,7 @@ from openai.types.chat import ChatCompletionMessageParam
 from pydantic import BaseModel
 
 from ..prompts.models import Message
-from .client import MULTILINGUAL_EXTRACTION_RESPONSES, LLMClient
+from .client import LLMClient, get_extraction_language_instruction
 from .config import DEFAULT_MAX_TOKENS, LLMConfig, ModelSize
 from .errors import RateLimitError, RefusalError
 
@@ -136,7 +136,7 @@ class OpenAIGenericClient(LLMClient):
             )
 
         # Add multilingual extraction instructions
-        messages[0].content += MULTILINGUAL_EXTRACTION_RESPONSES
+        messages[0].content += get_extraction_language_instruction()
 
         while retry_count <= self.MAX_RETRIES:
             try: