Update utils.py

utils.py

@@ -294,7 +294,7 @@ def get_qa_chain(vectorstore_index):
     # embeddings_filter = EmbeddingsFilter(embeddings=embeddings, similarity_threshold=0.76)
     # compression_retriever = ContextualCompressionRetriever(base_compressor=embeddings_filter, base_retriever=gpt_3_5_index.as_retriever())
     retriever = vectorstore_index.as_retriever(search_type="similarity_score_threshold",
-                                               search_kwargs={"score_threshold": .5})
+                                               search_kwargs={"score_threshold": .7})
 
     chain = ConversationalRetrievalChain.from_llm(llm, retriever, return_source_documents=True,
                                                   verbose=True, get_chat_history=get_chat_history,