Update README.md

README.md

@@ -1,62 +1,42 @@
-# Perplexica Web Reasearch AI
+# How to Set Up and Self-Host Perplexica Using Docker
 
-## Preperation
+## 1. Preparing Your Development Environment
+
+### Updating Dependencies
+Before you start, it's essential to ensure your system has the necessary dependencies installed:
+
+```bash
+sudo apt update && sudo apt upgrade -y
 ```
-apt update && apt upgrade -y
+
+This command updates your package lists and installs any new required packages.
+
+### Installing Docker
+Docker is crucial for containerizing and running Perplexica. Install Docker CE (for development) or Docker Hub (for production):
+
+```bash
 apt install docker.io docker-compose git -y
 ```
 
-## Download The Project
-```
+This will install Docker CE on your system, allowing you to create and run Docker containers.
+
+## 2. Cloning the Perplexica Repository
+
+To get access to the Perplexica codebase:
+
+```bash
 git clone https://github.com/ItzCrazyKns/Perplexica
 cd Perplexica
-mv sample.config.toml config.toml
-mv .env.example .env
-nano config.toml
 ```
 
-### Edit config.toml
-run the following command
-```
-nano config.toml
-```
-make sure it looks like the following
-```yaml
-[GENERAL]
-SIMILARITY_MEASURE = "cosine"
-KEEP_ALIVE = "5m"
+Replace `[your-repository-url]` with the actual GitHub repository URL of your Perplexica project.
 
-[MODELS.OPENAI]
-API_KEY = ""
+## 3. Configuring the Docker Compose File
 
-[MODELS.GROQ]
-API_KEY = ""
+### Understanding the Docker Compose File
 
-[MODELS.ANTHROPIC]
-API_KEY = ""
+The following YAML file configures a multi-service application:
 
-[MODELS.GEMINI]
-API_KEY = ""
-
-[MODELS.CUSTOM_OPENAI]
-API_KEY = ""
-API_URL = ""
-MODEL_NAME = ""
-
-[MODELS.OLLAMA]
-API_URL = "http://ollama:11434"
-
-[API_ENDPOINTS]
-SEARXNG = "http://searxng:8080"
-
-```
-
-### Edit The Docker Compose File
-run the following command
-```
-nano docker-compose.yaml
-```
-Make Sure It Looks Like The following
 ```yaml
 services:
   searxng:
@@ -106,6 +86,7 @@ services:
       - ./config.toml:/home/perplexica/config.toml
     depends_on:
       - ollama  #Ensure ollama is started first
+      - searxng #Ensure searxng is started second
     restart: unless-stopped
 
 networks:
@@ -117,19 +98,55 @@ volumes:
   ollama_data:    # Add ollama volume so it does not get lost
 ```
 
-### Finally - Execute Docker Compose
-run the following command
-```
+### Explanation of Each Service
+
+1. **searxng**:
+   - Uses the official `docker.io/searxng/searxng:latest` image.
+   - Listens on port 4000 and maps to Perplexica's 8080 endpoint.
+
+2. **ollama**:
+   - Uses the Ollama image with CUDA support for GPU acceleration.
+   - Exposes port 11434, which is used by Perplexica for API communication.
+
+3. **app** (Perplexica Service):
+   - Runs in a custom Docker image (`itzcrazykns1337/perplexica:main`).
+   - Exposes the application on port 3000.
+   - Maps local development files to host volumes for data persistence.
+
+### Volume Configuration
+
+Volumes ensure that data remains accessible after deployment:
+
+- `backend-dbstore`: Stores the database used by Perplexica.
+- `uploads`: Stores uploaded content (e.g., PDFs).
+- `config.toml`: Stores configuration settings.
+
+## 4. Building and Running the Application
+
+After setting up the Docker Compose file, run these commands to deploy:
+
+```bash
 docker-compose down && docker-compose up --build -d
 ```
 
-## In Case Of Failour
-run the following commands, i will clean the docker engin from all containers, volumes, images etc
-```
+This command:
+1. Removes existing containers (`docker-compose down`).
+2. Builds and starts a new deployment (`docker-compose up --build -d`).
+
+## 5. What If It Fails?
+
+If the setup fails, clean all containers and volumes:
+
+```bash
 docker rm -v -f $(docker ps -qa)
 docker rmi -f $(docker images -aq)
 docker volume prune
 docker system prune
 sudo systemctl restart docker
 ```
-then start over again
+
+Then, repeat the deployment steps.
+
+## 6. Conclusion
+
+By following these steps, you'll have a fully functional Perplexica application running on your local machine. The Docker setup ensures consistency across development environments and simplifies deployment to production.false