diff --git a/docs/final-report/report.tex b/docs/final-report/report.tex
index 2b5c543adc6f5194d3f2b1eb9f46c7b57301d685..5a7150495c3fe3e8704688941626a5182b1c9098 100644
--- a/docs/final-report/report.tex
+++ b/docs/final-report/report.tex
@@ -2,7 +2,6 @@
 \usepackage[utf8]{inputenc}
 \usepackage[english]{babel}
 \usepackage[T1]{fontenc}
-\usepackage{ngerman}
 \usepackage[]{listings}
 \usepackage{hyperref}
 \usepackage{graphicx}
@@ -56,7 +55,16 @@
     
 		\subsection{Rasa Setup and Intents}
 
-		The Rasa-Stack consists of two components: \textit{Rasa-Core} and \textit{Rasa-NLU}. The \textit{Rasa-NLU} component takes care of getting user input and matching it with the respective intents. It also extracts all possibly provided entities and stores them in variables, called ``slots''. After that, the \textit{Rasa-Core} component executes all actions associated with the determined intent. 
+		The Rasa-Stack consists of two components: \textit{Rasa-Core} and \textit{Rasa-NLU}.
+		The \textit{Rasa-NLU} component takes care of getting user input and matching it with the respective intents.
+		It also extracts all possibly provided entities and stores them in variables, called ``slots''.
+		After that, the \textit{Rasa-Core} component executes all actions associated with the determined intent. 
+		Every intent that requests data, uses two custom python actions: 
+		One to search for the information in a datafile or database and a second one to utter found results back to the user. 
+		There are fallback actions and error handlings in place, in case the user entered false requests or the bot can't find answers for a given intent.
+		The structure of the bot was heavily inspired by the Rasa Github examples\footnote{\url{https://github.com/RasaHQ/rasa_core/tree/master/examples}}. 
+		Intents used in this project were chosen to be simple and possible to extract from wikitexts.
+
 
     \subsection{Scrapping of Source Texts}
     Wikipedia was chosen as resource for texts as it provides texts of relatively long length in a somewhat uniform manner.