diff --git a/text_2_sql/semantic_kernel/README.md b/text_2_sql/semantic_kernel/README.md
index fb808df..5749ad0 100644
--- a/text_2_sql/semantic_kernel/README.md
+++ b/text_2_sql/semantic_kernel/README.md
@@ -5,8 +5,7 @@ The implementation is written for [Semantic Kernel](https://github.com/microsoft
 ## Provided Notebooks & Scripts
 
 - `./rag_with_prompt_based_text_2_sql.ipynb` provides example of how to utilise the Prompt Based Text2SQL plugin to query the database.
-- `./rag_with_vector_based_text_2_sql.ipynb` provides example of how to utilise the Vector Based Text2SQL plugin to query the database.
-- `./rag_with_vector_based_text_2_sql_query_cache.ipynb` provides example of how to utilise the Vector Based Text2SQL plugin, alongside the query cache, to query the database.
+- `./rag_with_vector_based_text_2_sql.ipynb` provides example of how to utilise the Vector Based Text2SQL plugin to query the database. The query cache plugin will be enabled or disabled depending on the environmental parameters.
 - `./rag_with_ai_search_and_text_2_sql.ipynb` provides an example of how to use the Text2SQL and an AISearch plugin in parallel to automatically retrieve data from the most relevant source to answer the query.
     - This setup is useful for a production application as the SQL Database is unlikely to be able to answer all the questions a user may ask.
 - `./time_comparison_script.py` provides a utility script for performing time based comparisons between the different approaches.