Update retriever.py

retriever.py

@@ -1,21 +1,19 @@
-from typing import List
-
-# Dummy in-memory document store for simplicity
-document_store = {
-    "task_id_1": "The Titanic was used in the film The Last Voyage.",
-    "task_id_2": "The fruits in the 2008 painting were apples, grapes, and pears.",
-    # Add more if needed
-}
-def retrieve_relevant_context(question: str) -> str:
-    # Placeholder logic — can be updated with your real retrieval method
-    return f"Relevant context for: {question}"
-def retrieve_context(task_id: str, question: str) -> List[str]:
-    """
-    Simulated retrieval logic. Replace with RAG/FAISS/LLM Search for real usage.
-    """
-    if task_id in document_store:
-        return [document_store[task_id]]
-    elif "Titanic" in question:
-        return ["Titanic was featured in The Last Voyage."]
-    else:
-        return ["Context not found. Please refer to web or document tools."]
+from typing import List
+
+# Dummy in-memory document store for simplicity
+document_store = {
+    "task_id_1": "The Titanic was used in the film The Last Voyage.",
+    "task_id_2": "The fruits in the 2008 painting were apples, grapes, and pears.",
+    # Add more if needed
+}
+
+def retrieve_context(task_id: str, question: str) -> List[str]:
+    """
+    Simulated retrieval logic. Replace with RAG/FAISS/LLM Search for real usage.
+    """
+    if task_id in document_store:
+        return [document_store[task_id]]
+    elif "Titanic" in question:
+        return ["Titanic was featured in The Last Voyage."]
+    else:
+        return ["Context not found. Please refer to web or document tools."]