Скачать или смотреть MultiModal RAG - Complex documents (Text +Tables +Images)

🚀 Multimodal Retrieval-Augmented Generation (RAG) Explained! 🚀

Google colab notebook: (link is in pinned comment)

In this video, I take you through the end-to-end pipeline for building a Multimodal RAG system—a powerful approach that combines text, images, and other modalities to enhance LLM responses.

🔍 What You’ll Learn:
✅ Understanding Multimodal RAG and its real-world applications
✅ How to process text, images, PDFs, and other data formats
✅ Using Unstructured.io for extracting and structuring content
✅ Integrating multimodal data into LLMs for better retrieval
✅ Hands-on coding and implementation with step-by-step guidance

🛠️ Tech Stack & Tools Covered:
🔹 Unstructured.io - for handling diverse document formats
🔹 LangChain - for retrieval & orchestration
🔹 Vector Databases - for efficient multimodal search
🔹 LLMs - for enhanced responses using RAG

💡 Whether you're a beginner or an experienced AI enthusiast, this video will give you practical insights and hands-on knowledge to build your own multimodal RAG system!

📌 Timestamps:
00:00 - Introduction to Multimodal RAG
02:30 - Why Multimodal RAG Matters?
05:15 - Setting Up the Environment
08:45 - Working with Unstructured.io
15:30 - Implementing RAG with Text & Images
22:00 - Integrating with LLMs
28:45 - Final Thoughts & Next Steps

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Have questions or want to share your thoughts? Drop a comment below! 🚀

#MultimodalRAG #GenerativeAI #UnstructuredIO #LangChain #AI #MachineLearning