Update app.py

app.py

@@ -48,12 +48,12 @@ vectorstore = Chroma.from_documents(documents=splits, embedding=embedding)
 def format_docs(docs):
     return "\n\n".join(doc.page_content for doc in docs)
 
-retriever = vectorstore.as_retriever()
+retriever = vectorstore.as_retriever(search_type="similarity_score_threshold", search_kwargs={"score_threshold": 0.3}, k=1)
 
 prompt = hub.pull("rlm/rag-prompt")
 llm = HuggingFaceEndpoint(repo_id="mistralai/Mistral-7B-Instruct-v0.3")
 rag_chain = (
-    {"context": retriever | format_docs, "question": RunnablePassthrough()}
+    {"context": retriever† | format_docs, "question": RunnablePassthrough()}
     | prompt
     | llm
     | StrOutputParser()
@@ -87,6 +87,7 @@ You are a Cupertino High School Q/A chatbot, designed to assist students, parent
 Use the pieces of context to answer the question.
 Use markdown with spaces in between sentences for readability.
 Refer to the provided context only as 'my data'. Only answer questions from the context.
+Do not give any response related
 """
 qa_prompt = ChatPromptTemplate.from_messages(
     [