diff --git a/langchain/chains/graph_qa/cypher.py b/langchain/chains/graph_qa/cypher.py
index b06fb9ce..68966cd2 100644
--- a/langchain/chains/graph_qa/cypher.py
+++ b/langchain/chains/graph_qa/cypher.py
@@ -8,7 +8,7 @@ from pydantic import Field
 from langchain.base_language import BaseLanguageModel
 from langchain.callbacks.manager import CallbackManagerForChainRun
 from langchain.chains.base import Chain
-from langchain.chains.graph_qa.prompts import CYPHER_GENERATION_PROMPT, PROMPT
+from langchain.chains.graph_qa.prompts import CYPHER_GENERATION_PROMPT, CYPHER_QA_PROMPT
 from langchain.chains.llm import LLMChain
 from langchain.graphs.neo4j_graph import Neo4jGraph
 from langchain.prompts.base import BasePromptTemplate
@@ -45,7 +45,7 @@ class GraphCypherQAChain(Chain):
         cls,
         llm: BaseLanguageModel,
         *,
-        qa_prompt: BasePromptTemplate = PROMPT,
+        qa_prompt: BasePromptTemplate = CYPHER_QA_PROMPT,
         cypher_prompt: BasePromptTemplate = CYPHER_GENERATION_PROMPT,
         **kwargs: Any,
     ) -> GraphCypherQAChain:
diff --git a/langchain/chains/graph_qa/prompts.py b/langchain/chains/graph_qa/prompts.py
index 5526c67c..b7008ab3 100644
--- a/langchain/chains/graph_qa/prompts.py
+++ b/langchain/chains/graph_qa/prompts.py
@@ -48,3 +48,16 @@ The question is:
 CYPHER_GENERATION_PROMPT = PromptTemplate(
     input_variables=["schema", "question"], template=CYPHER_GENERATION_TEMPLATE
 )
+
+CYPHER_QA_TEMPLATE = """You are an assistant that helps to form nice and human understandable answers.
+The information part contains the provided information that you can use to construct an answer.
+The provided information is authorative, you must never doubt it or try to use your internal knowledge to correct it.
+Make it sound like the information are coming from an AI assistant, but don't add any information.
+Information:
+{context}
+
+Question: {question}
+Helpful Answer:"""
+CYPHER_QA_PROMPT = PromptTemplate(
+    input_variables=["context", "question"], template=CYPHER_QA_TEMPLATE
+)