Update README.md

README.md

@@ -36,7 +36,7 @@ Participants will be working with a comprehensive dataset comprising hotel infor
 ### **Level 1: Semantic Hotel Search RAG System**
 
 **Objective:**
-Build a RAG (Retrieval-Augmented Generation) based system using any vector db, that empowers users to input semantic queries about the hotels they are searching for. The system should not only retrieve relevant hotels in the corresponding city but also utilize a decoder model to explain why a particular hotel matches their preferences.
+Build a RAG (Retrieval-Augmented Generation) based system using [Qdrant](https://github.com/qdrant) as the Vector Db, that empowers users to input semantic queries about the hotels they are searching for. The system should not only retrieve relevant hotels in the corresponding city but also utilize a decoder model to explain why a particular hotel matches their preferences.
 
 ### **Level 2: Integration with [Traversaal.ai](https://traversaal.ai/)'s Ares API**