Create retrieval.py

retrieval.py

@@ -0,0 +1,11 @@
+# retrieval.py
+def retrieve_context(query: str) -> str:
+    # Simulate retrieval until you hook in embeddings
+    mock_knowledge = {
+        "agentic": "Agentic AI enables systems to autonomously plan and execute tasks.",
+        "llama": "Llama models are advanced open-weight LLMs optimized for reasoning."
+    }
+    for key, val in mock_knowledge.items():
+        if key.lower() in query.lower():
+            return val
+    return "No relevant context found yet — retrieval DB not connected."