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supporting-blog-content/building-multimodal-rag-with-elasticsearch-gotham/README.md

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@@ -17,31 +17,18 @@ The pipeline demonstrates how to:
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- 8GB+ RAM
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- GPU (optional but recommended)
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## Execution Options
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This project can be run in two different ways:
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### 1. Jupyter Notebook
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## Code execution
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We provide a Google Colab notebook that allows you to explore the entire pipeline interactively:
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- [Open the Multimodal RAG Pipeline Notebook](notebook/01-mmrag-blog-quick-start.ipynb)
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- This notebook includes step-by-step instructions and explanations for each stage of the pipeline
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### 2. Docker
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For containerized execution that ensures consistent environment:
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- Follow the [Docker Setup Guide](docker-setup.md) for instructions on running the pipeline using Docker Compose
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- This option handles all dependencies and environment setup automatically
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- Ideal for reproducible runs
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## Project Structure
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```
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├── README.md
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├── requirements.txt
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├── Dockerfile
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├── docker-compose.yml
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├── notebook/
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│ ├── 01-mmrag-blog-quick-start.ipynb # Jupyter notebook execution
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├── src/

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