📚 Building Multimodal Search and RAG

Welcome! 👋 This repository contains the Jupyter notebooks for the course Building Multimodal Search and RAG, created by DeepLearning.AI in collaboration with Weaviate.

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🚀 What this course covers

• Basics of embeddings and vector search
• How to build multimodal search (text + images)
• Creating RAG pipelines with LLMs
• Practical applications for real-world search systems

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📂 What’s inside

All the course notebooks are in the notebooks/ folder. You can open them in Jupyter or Google Colab and follow along with the lessons.

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⚡ How to use this repo

1. Clone the repo:

   git clone https://github.com/sdivyanshu90/Building-Multimodal-Search-and-RAG.git
   cd Building-Multimodal-Search-and-RAG

2. Launch Jupyter Notebook and start exploring 🚀

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🙌 Acknowledgments

This course is brought to you by DeepLearning.AI and Weaviate.

Happy learning, and have fun building your own multimodal search & RAG systems! 🎉