Update app.py

app.py

@@ -63,8 +63,10 @@ def query_chromadb():
     embeddings = OpenAIEmbeddings()
     # Load Vector store from local disk
     vectorstore = Chroma(persist_directory=DB_DIR, embedding_function=embeddings)
+    db2.persist()
 
-    result = vectorstore.similarity_search_with_score(query="who is FREDERICK?", k=4)
+    result = vectorstore.similarity_search_with_score(query="how to use AI in water conservation?", k=4)
+    
     jsonable_result = jsonable_encoder(result)
     print(json.dumps(jsonable_result, indent=2))