diff --git a/app/Dockerfile b/app/Dockerfile
index d3cfd57..4d4ccb9 100644
--- a/app/Dockerfile
+++ b/app/Dockerfile
@@ -33,6 +33,9 @@ COPY requirements.txt /app/
 # Install Python dependencies
 RUN pip install --no-cache-dir -r requirements.txt
 
+# Preload the sentence transformer model to cache
+RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('all-MiniLM-L6-v2')"
+
 # Copy the application source code into the container
 COPY . /app
 
diff --git a/app/app.py b/app/app.py
index 61af9c6..958908d 100644
--- a/app/app.py
+++ b/app/app.py
@@ -193,7 +193,7 @@ def handle_webhook():
 
         # Fetch the conversation and generate an LLM answer for the user
         logger.info(f"Detected a user reply in conversation {conversation_id}; fetching an answer from LLM...")
-        answer_intercom_conversation(app.rag_system, conversation_id)
+        answer_intercom_conversation(app.rag_system, conversation_id, topic)
 
     else:
         logger.info(f"Received webhook for unsupported topic: {topic}; no action taken.")