diff --git a/requirements.txt b/requirements.txt
index 1fe6812..4c194d4 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -61,6 +61,7 @@ google-auth-oauthlib
 #langchain[all]
 langchain[llms]
 langchain-community
+langchain-classic
 #langchain-cli
 #langchain-core
 langchain-openai
diff --git a/routers/langchain/neo4j_graph_qa.py b/routers/langchain/neo4j_graph_qa.py
index ba36072..257ca39 100644
--- a/routers/langchain/neo4j_graph_qa.py
+++ b/routers/langchain/neo4j_graph_qa.py
@@ -14,10 +14,10 @@ logging = logger.get_logger(
     log_format='default'
 )
 from fastapi import APIRouter, HTTPException
-from langchain.chains import GraphCypherQAChain
+from langchain_classic.chains import GraphCypherQAChain
 from langchain_community.graphs import Neo4jGraph
 from langchain_community.chat_models import ChatOpenAI
-from langchain.prompts.prompt import PromptTemplate
+from langchain_classic.prompts.prompt import PromptTemplate
 from routers.llm.private.ollama.ollama_wrapper import OllamaWrapper
 from modules.database.tools.neontology.utils import get_node_types, get_rels_by_type
 from modules.database.tools.neontology.basenode import BaseNode
diff --git a/routers/llm/private/ollama/ollama_wrapper.py b/routers/llm/private/ollama/ollama_wrapper.py
index 5d34ac7..6818182 100644
--- a/routers/llm/private/ollama/ollama_wrapper.py
+++ b/routers/llm/private/ollama/ollama_wrapper.py
@@ -1,7 +1,6 @@
 from typing import Any, Dict
 from ollama import Client
 from langchain_core.runnables.base import Runnable
-from langchain.prompts.base import StringPromptValue
 
 class OllamaWrapper(Runnable):
     def __init__(self, host: str, model: str = "llama3.2:latest"):
@@ -9,8 +8,11 @@ class OllamaWrapper(Runnable):
         self.model = model
 
     def invoke(self, prompt: Any, config: Dict[str, Any] = None, **kwargs: Any) -> str:
-        if isinstance(prompt, StringPromptValue):
+        # Handle different prompt types (StringPromptValue, str, etc.)
+        if hasattr(prompt, 'to_string'):
             prompt = prompt.to_string()
+        elif not isinstance(prompt, str):
+            prompt = str(prompt)
 
         # Use the model from constructor, but allow override via kwargs
         model_name = kwargs.get("model", self.model)