From 978f2b640e62721e359b961958f2639d877d6511 Mon Sep 17 00:00:00 2001
From: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
Date: Sat, 15 Feb 2025 05:40:55 +0100
Subject: [PATCH] Update README.md

---
 README.md | 48 +++++-------------------------------------------
 1 file changed, 5 insertions(+), 43 deletions(-)

diff --git a/README.md b/README.md
index c56a82678..726b67c21 100644
--- a/README.md
+++ b/README.md
@@ -27,6 +27,10 @@ Have you seen cognee's <a href="https://github.com/topoteretes/cognee-starter">s
 <img src="assets/cognee_benefits.png" alt="why cognee" width="80%" />
 </div>
 
+### Contrbuting
+
+We welcome contributions! To get started, please check our Contribution Guidelines
+
 ## 📦 Installation
 
 You can install Cognee using either **pip** or **poetry**.
@@ -109,29 +113,6 @@ cognee.config.set_llm_api_key("YOUR_OPENAI_API_KEY")
 You can also set the variables by creating .env file, here is our <a href="https://github.com/topoteretes/cognee/blob/main/.env.template">template.</a>
 To use different LLM providers, for more info check out our <a href="https://docs.cognee.ai">documentation</a>
 
-If you are using Network, create an account on Graphistry to visualize results:
-```
-cognee.config.set_graphistry_config({
-    "username": "YOUR_USERNAME",
-    "password": "YOUR_PASSWORD"
-})
-```
-
-(Optional) To run the with an UI, go to cognee-mcp directory and follow the instructions.
-You will be able to use cognee as mcp tool and create graphs and query them.
-
-
-If you want to use Cognee with PostgreSQL, make sure to set the following values in the .env file:
-```
-DB_PROVIDER=postgres
-
-DB_HOST=postgres
-DB_PORT=5432
-
-DB_NAME=cognee_db
-DB_USERNAME=cognee
-DB_PASSWORD=cognee
-```
 
 ### Simple example
 
@@ -206,6 +187,7 @@ if __name__ == '__main__':
 When you run this script, you will see step-by-step messages in the console that help you trace the execution flow and understand what the script is doing at each stage.
 A version of this example is here: `examples/python/simple_example.py`
 
+
 ### Understand our architecture
 
 cognee framework consists of tasks that can be grouped into pipelines.
@@ -258,28 +240,8 @@ Please see the cognee [Development Guide](https://docs.cognee.ai/quickstart/) fo
 ```bash
 pip install cognee
 ```
-### Deployment at Scale (Modal)
 
-Scale cognee in 4(+1) simple steps to handle enterprise workloads using [Modal](https://modal.com)'s GPU-powered infrastructure
 
-**1. Install the modal python client**
-```bash
-pip install modal
-```
-**2. Create a free account on [Modal](https://modal.com)**
-
-**3. Set Up Modal API Key**
-```bash
-modal token set --token-id TOKEN_ID --token-secret TOKEN_SECRET --profile=PROFILE
-modal profile activate PROFILE
-```
-**4. Run cognee example**
-
-This simple example will deploy separate cognee instances building their own memory stores and answering a list of questions at scale.
-```bash
-modal run -d modal_deployment.py
-```
-**5. Change the modal_deploy script and develop your own AI memory at scale 🚀**
 
 ## 💫 Contributors