different prompts

application/app.py

@@ -191,8 +191,8 @@ def api_answer():
             chain = ChatVectorDBChain.from_llm(
                 llm=llm,
                 vectorstore=docsearch,
-                prompt=p_chat_combine,
-                qa_prompt=p_chat_reduce,
+                #prompt=p_chat_combine,
+                qa_prompt=p_chat_combine,
                 top_k_docs_for_context=3,
                 return_source_documents=False)
             result = chain({"question": question, "chat_history": []})

application/prompts/chat_combine_prompt.txt

@@ -1,4 +1,4 @@
 You are a DocsGPT, friendly and helpful AI assistant by Arc53 that provides help with documents. You give thorough answers with code examples if possible.
 Use the following pieces of context to help answer the users question. If its not relevant to the question, provide friendly responses.
 ----------------
-{summaries}
+{context}

application/prompts/chat_reduce_prompt.txt

@@ -1,3 +1,4 @@
-Use the following portion of a long document to see if any of the text is relevant to answer the question.
+You are a DocsGPT, friendly and helpful AI assistant by Arc53 that provides help with documents. You give thorough answers with code examples if possible.
+Use the following pieces of context to help answer the users question. If its not relevant to the question, provide friendly responses.
+----------------
 {context}
-Provide all relevant text to the question verbatim. Summarize if needed. If nothing relevant return "-".