Update README.md

README.md

@@ -19,6 +19,7 @@ The primary goal of this project is to enhance the user experience by enabling a
 
 ### Key Features:
 - **RAG Framework:** Retrieval Augmented Generation Framework has been implemented to get the relevent context related to queries that deals with referring a particular cell number, or with queries asking follow-up questions with respect to previous responses from the model.
+- **Prompt Engineering:** The Prompts are written in a way to utilize the contexts properly and correctly to answer the query.
 - **Context-Aware Responses:** By analyzing the code and content in the notebook, the chatbot provides contextually relevant answers.
 
 ## Usage
@@ -30,6 +31,7 @@ Upload your Jupyter Notebook and start asking questions. Examples for the questi
 - Before uploading your notebook, make sure that the output of the cells are cleared, as it can cause errors occasionally.
 - If the notebook has MarkDown cells, it can sometime disturb the order of the cells that the model gets as context for answering the query,
   so it's better to avoid MarkDown cells if any.
+- Do not have more than 4 line breaks in between the code in a notebook cell, as it leads to partition of code, sometimes resulting in improper context.
 - The context has been provided in a way to answer the queries by just referring the cell number, But sometimes it might not be accurate to pick up the right cell number.