Update app.py

app.py

@@ -159,7 +159,7 @@ else:
 
 if query:
     with st.spinner("🔄 Retrieving relevant context..."):
-        retriever = st.session_state.vector_store.as_retriever(search_type="similarity", search_kwargs={"k": 5})
+        retriever = st.session_state.vector_store.as_retriever(search_type="similarity", search_kwargs={"k": 4})
         contexts = retriever.invoke(query)
         # Debugging: Check what was retrieved
         st.write("Retrieved Contexts:", contexts)
@@ -232,7 +232,7 @@ if query:
         context_prompt = PromptTemplate(
             input_variables=["context_number"],
             template="""
-            You main task is to analyze the json structure as a part of the Context Number Response and the list of Contexts provided in the 'Content List' and perform the following steps:-
+            Your main task is to analyze the json structure as a part of the Context Number Response and the list of Contexts provided in the 'Content List' and perform the following steps:-
             (1) Look at the output from the Relevant Context Picker Agent.
             (2) Analyze the 'content' key in the Json Structure format({{"content":<<content_number>>}}).
             (3) Retrieve the value of 'content' key and pick up the context corresponding to that element from the Content List provided.
@@ -252,7 +252,7 @@ if query:
             """
         )
 
-        rag_prompt = """ You are ahelpful assistant very profiient in formulating clear and meaningful answers from the context provided.Based on the CONTEXT Provided ,Please formulate
+        rag_prompt = """ You are a helpful assistant very profiient in formulating clear and meaningful answers from the context provided.Based on the CONTEXT Provided ,Please formulate
         a clear concise and meaningful answer for the QUERY asked.Please refrain from making up your own answer in case the COTEXT provided is not sufficient to answer the QUERY.In such a situation please respond as 'I do not know'.
         
         QUERY: