fix: Use /tmp for vector store to resolve permission issues

rag/build_vector_store.py

@@ -32,7 +32,7 @@ def build_vector_store():
     embeddings = model.encode(documents)
 
     # Initialize ChromaDB client and create a collection
-    client = chromadb.PersistentClient(path="/app/rag/vector_store")
+    client = chromadb.PersistentClient(path="/tmp/vector_store")
     collection = client.get_or_create_collection("university_data")
 
     # Add documents and embeddings to the collection

rag/retriever.py

@@ -21,7 +21,7 @@ def search(query: str, top_k: int = 5):
     query_embedding = model.encode([query])
 
     # Initialize ChromaDB client and get the collection
-    client = chromadb.PersistentClient(path="/app/rag/vector_store")
+    client = chromadb.PersistentClient(path="/tmp/vector_store")
     collection = client.get_collection("university_data")
 
     # Perform the search