Update app.py

app.py

@@ -86,7 +86,7 @@ def answer_query(message, chat_history):
     base_compressor = LLMChainExtractor.from_llm(chat)
 
     db = Chroma(persist_directory = "./slide_chromaDB4", embedding_function=embedding_function, collection_name="slideCollection")
-    base_retriever = db.as_retriever()
+    base_retriever = db.as_retriever(search_type="similarity_score_threshold",search_kwargs={'score_threshold': 0.2})
     mq_retriever = MultiQueryRetriever.from_llm(retriever = base_retriever, llm=chat)
     compression_retriever = ContextualCompressionRetriever(base_compressor=base_compressor, base_retriever=mq_retriever)