diff --git a/docs/concepts/metrics/available_metrics/context_precision.md b/docs/concepts/metrics/available_metrics/context_precision.md
index 449dadcea..0cccddd95 100644
--- a/docs/concepts/metrics/available_metrics/context_precision.md
+++ b/docs/concepts/metrics/available_metrics/context_precision.md
@@ -17,7 +17,7 @@ The following metrics uses LLM to identify if a retrieved context is relevant or
 
 ### Context Precision without reference
 
-`LLMContextPrecisionWithoutReference` metric can be used when you have both retrieved contexts and also reference contexts associated with a `user_input`. To estimate if a retrieved contexts is relevant or not this method uses the LLM to compare each of the retrieved context or chunk present in `retrieved_contexts` with `response`.
+`LLMContextPrecisionWithoutReference` metric can be used when you have both retrieved contexts and also reference answer associated with a `user_input`. To estimate if a retrieved contexts is relevant or not this method uses the LLM to compare each of the retrieved context or chunk present in `retrieved_contexts` with `response`.
 
 #### Example
     
@@ -43,7 +43,7 @@ Output
 
 ### Context Precision with reference
 
-`LLMContextPrecisionWithReference` metric is can be used when you have both retrieved contexts and also reference answer associated with a `user_input`. To estimate if a retrieved contexts is relevant or not this method uses the LLM to compare each of the retrieved context or chunk present in `retrieved_contexts` with `reference`. 
+`LLMContextPrecisionWithReference` metric is can be used when you have both retrieved contexts and also reference context associated with a `user_input`. To estimate if a retrieved contexts is relevant or not this method uses the LLM to compare each of the retrieved context or chunk present in `retrieved_contexts` with `reference`. 
 
 #### Example
     
@@ -92,4 +92,4 @@ await context_precision.single_turn_ascore(sample)
 Output
 ```
 0.9999999999
-```
\ No newline at end of file
+```