Update utils/rag_utils.py

utils/rag_utils.py

@@ -15,15 +15,23 @@ def process_pdf(file_path: str):
     return splitter.split_text(text)
 
 def get_groq_response(query, vector_db, model_name="mixtral-8x7b-32768"):
-    llm = ChatGroq(
-        temperature=0.1,
-        model_name=model_name,
-        max_tokens=2048
-    )
-    
-    qa = RetrievalQA.from_chain_type(
-        llm=llm,
-        chain_type="stuff",
-        retriever=vector_db.as_retriever(search_kwargs={"k": 4})
-    )
-    return qa.run(query)
+    try:
+        # Updated to use current LLaMA3 model (replace with latest from Groq docs)
+        llm = ChatGroq(
+            temperature=0.1,
+            model_name="llama3-70b-8192",  # Current recommended model
+            max_tokens=2048
+        )
+        
+        qa = RetrievalQA.from_chain_type(
+            llm=llm,
+            chain_type="stuff",
+            retriever=vector_db.as_retriever(search_kwargs={"k": 4})
+        )
+        return qa.run(query)
+    except Exception as e:
+        # Provide helpful error message
+        error_msg = str(e)
+        if "model_decommissioned" in error_msg:
+            return "Error: Please update the model name in rag_utils.py - check Groq's latest docs"
+        return f"Error processing request: {error_msg}"