del: archi from readme

README.md

@@ -41,20 +41,6 @@ streamlit run frontend/app.py
 You should than be able to login and chat to the bot:
 ![](docs/login_and_chat.gif)
 
-
-## Architecture
-
-### The `frontend`, the `backend`, and the `database`
-
-The whole goal of this repo is to decouple the "computing and LLM querying" part from the "rendering a user interface" part. We do this with a typical 3-tier architecture.
-
-![](docs/3t_architecture.png)
-
-- The [frontend](frontend) is the end user facing part. It reches out to the backend **ONLY** through the REST API. We provide a frontend demo here for convenience, but ultimately it could live in a completely different repo, and be written in a completely different language.
-- The [backend](backend) provides a REST API to abstract RAG functionalities. It handles calls to LLMs, tracks conversations and users, handles the state management using a db, and much more. To get the gist of the backend, look at the of the API: http://0.0.0.0:8000/docs
-- The [database](database) is only accessed by the backend and persists the state of the RAG application. [Explore the data model here.](https://dbdiagram.io/d/RAGAAS-63dbdcc6296d97641d7e07c8)
-
-
 ## Documentation
 
 To deep dive into under the hood, take a look at the documentation: