Update README.md

Author: DSoftwareArtist

README.md

@@ -16,71 +16,3 @@ A system that allows users to query structured databases using natural language.
 - **Embeddings:** sentence-transformers >=2.2.2
 - **Environment:** python-dotenv >=1.0.0
 - **PDF Parsing:** PyPDF2 >=3.0.0
-
-
-## Setup Instructions
-
-### 1. Prerequisites
-
-- Python 3.9+
-- PostgreSQL 15+ with pgvector extension
-- Groq API key (free)
-
-### 2. Install Dependencies
-
-```bash
-pip install -r requirements.txt
-```
-
-### 3. Database Setup
-
-**Option A: Using Docker**
-```bash
-docker run -d --name postgres-pgvector \
-  -e POSTGRES_PASSWORD=postgres \
-  -e POSTGRES_DB=llm_analytics \
-  -p 5432:5432 \
-  pgvector/pgvector:pg16
-```
-
-**Option B: Local PostgreSQL**
-1. Install PostgreSQL
-2. Create database: `CREATE DATABASE llm_analytics;`
-3. Enable pgvector: `CREATE EXTENSION vector;`
-
-### 4. Configure Environment
-
-Edit `.env` file:
-```env
-DB_NAME=llm_analytics
-DB_USER=postgres
-DB_PASSWORD=postgres
-DB_HOST=localhost
-DB_PORT=5432
-GROQ_API_KEY=your_groq_api_key_here
-SECRET_KEY=your_django_secret_key
-```
-
-**Get Groq API Key (free):**
-1. Go to https://console.groq.com/keys
-2. Create a new API key
-3. Copy it to your `.env` file
-
-### 5. Run Migrations
-
-```bash
-python manage.py migrate
-```
-
-### 6. Run Development Server
-
-```bash
-python manage.py runserver
-```
-
-### 7. Access the Application
-
-- Web UI: http://localhost:8000
-- Admin: http://localhost:8000/admin
-
-