Test run with both openai call and vector db

app.py

@@ -18,6 +18,22 @@ embedding = OpenAIEmbeddings(openai_api_key=openai_api_key)
 persist_directory = './chroma_db'
 vectordb = Chroma(persist_directory=persist_directory, embedding_function=embedding)
 
+llm_name = "gpt-3.5-turbo"
+
+llm = ChatOpenAI(model_name=llm_name, temperature=0,
+                 openai_api_key=openai_api_key)
+
+qa_chain = RetrievalQA.from_chain_type(
+    llm,
+    retriever=vectordb.as_retriever()
+)
+
+question = "production is broken how do I fix it?"
+
+result = qa_chain({"query": question})
+
+print(result['result'])
+
 
 # Streamed response emulator
 def response_generator():