updated app.py

app.py

@@ -60,11 +60,12 @@ def answer(text,context=""):
 
 # helper function for RAG
 def helper_rag(text):
-    #docs_out = vectordb.similarity_search_with_relevance_scores(text,k=5)
-    docs_out = vectordb.max_marginal_relevance_search(text,k=5,fetch_k = 20, lambda_mult = 0.5)
+    docs_out = vectordb.similarity_search_with_relevance_scores(text,k=5)
+    #docs_out = vectordb.max_marginal_relevance_search(text,k=5,fetch_k = 20, lambda_mult = 0.5)
     context = ""
     for doc in docs_out:
-        context += doc.page_content + "\n"
+        if doc[1] > 0.7:
+            context += doc[0].page_content + "\n"
 
     return context