added docket setup guide

Author: iamarunbrahma

README.md

@@ -59,6 +59,9 @@ See [docs/ollama_setup.md](docs/ollama_setup.md) on how to setup Ollama locally.
 
 ⚠️ **Warning**: While Ollama provides free local model hosting, please note that vision models from Ollama can be significantly slower in processing documents and may not produce optimal results when handling complex PDF documents. For better accuracy and performance with complex layouts in PDF documents, consider using API-based models like OpenAI or Gemini.
 
+### Setting up Vision Parse with Docker (Optional)
+See [docs/docker_setup.md](docs/docker_setup.md) on how to setup Vision Parse with Docker.
+
 ## 📚 Usage
 
 ### Basic Example Usage
@@ -204,7 +207,7 @@ Vision Parse offers several customization parameters to enhance document process
 | detailed_extraction | Enable advanced content extraction to extract complex information such as LaTeX equations, tables, images, etc. | bool |
 | enable_concurrency | Enable parallel processing of multiple pages in a PDF document in a single request | bool |
 
-Note: For more details on custom configuration for Vision LLM providers, please refer to [docs/config.md](docs/config.md).
+Note: For more details on custom model configuration i.e. `openai_config`, `gemini_config`, and `ollama_config`; please refer to [docs/config.md](docs/config.md).
 
 ## 📊 Benchmarks
 

docs/docker_setup.md

@@ -0,0 +1,92 @@
+# Docker Setup Guide for Vision Parse
+
+This guide explains how to set up Vision Parse using Docker on macOS and Linux systems.
+
+## Prerequisites
+
+- Docker and Docker Compose installed on your system
+- Nvidia GPU (optional, but recommended for better performance)
+
+### macOS
+1. Install Docker Desktop for Mac from [Docker Hub](https://hub.docker.com/editions/community/docker-ce-desktop-mac)
+2. For Apple Silicon (M1/M2) users, ensure you're using ARM64 compatible images
+
+### Linux
+1. Install Docker Engine:
+   ```bash
+   curl -fsSL https://get.docker.com -o get-docker.sh
+   sudo sh get-docker.sh
+   ```
+2. Install Docker Compose:
+   ```bash
+   sudo apt-get install docker-compose
+   ```
+3. For GPU support, install NVIDIA Container Toolkit:
+   ```bash
+   curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
+
+   curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
+     sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
+     sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
+
+   sudo apt-get update
+
+   sudo apt-get install -y nvidia-container-toolkit
+   ```
+
+## Environment Setup
+
+Export the required environment variables in your terminal:
+```bash
+# Required: Choose one of the following models
+export MODEL_NAME=llama3.2-vision:11b  # select the model name from the list of supported models
+
+# Optional: API keys (required only for specific models)
+export OPENAI_API_KEY=your_openai_api_key
+export GEMINI_API_KEY=your_gemini_api_key
+```
+
+## Running Docker Container
+
+1. If you have an Nvidia GPU, uncomment the following lines in your docker-compose.yml:
+   ```yaml
+   deploy:
+     resources:
+       reservations:
+         devices:
+           - driver: nvidia
+             count: 1
+             capabilities: [gpu]
+   ```
+
+2. Build and start the container:
+   ```bash
+   # Build the image
+   docker compose build
+
+   # Start the container in detached mode
+   docker compose up -d
+   ```
+
+## Troubleshooting
+
+1. If using Ollama-based models, ensure port 11434 is not being used by another service:
+```bash
+# macOS
+lsof -i :11434
+
+# Linux
+sudo netstat -tulpn | grep 11434
+```
+
+2. Check container logs for any errors:
+```bash
+docker compose logs vision-parse
+```
+
+## Stopping the Container
+
+To stop the Vision Parse container:
+```bash
+docker compose down
+```