Multimodal RAG Explained 🤯 | How AI Understands Text & Images | Tamil 🇮🇳 | Part-1

🚀 How can AI retrieve BOTH text and images from a document and use them to answer your questions? In this video, we dive into the architecture of Multimodal RAG (Retrieval-Augmented Generation) and understand how text and images can work together in a single AI pipeline. Before jumping into the practical implementation, we'll first understand the complete architecture step by step. 📌 In this video, you'll learn: 🔹 What is Multimodal RAG? 🔹 How is Multimodal RAG different from traditional RAG? 🔹 How text and images are extracted from PDFs 🔹 How document text is processed 🔹 How CLIP creates embeddings for both text and images 🔹 How text and images can exist in the same embedding space 🔹 How FAISS stores and performs similarity search 🔹 How relevant text and images are retrieved 🔹 How retrieved images are passed to a multimodal LLM 🔹 How text + image context is combined 🔹 How the multimodal LLM generates the final answer 🔹 Complete Multimodal RAG architecture 🧠 COMPLETE PIPELINE PDF ↓ Text + Images ↓ Text Processing ↓ CLIP Embeddings ↓ FAISS Vector Store ↓ Similarity Search ↓ Relevant Text + Images ↓ Multimodal Prompt ↓ Vision-Language LLM ↓ Final Answer 🛠️ TECH STACK USED IN THE PROJECT 🐍 Python 🧠 CLIP ⚡ FAISS 🔗 LangChain 🚀 Groq 📄 PyMuPDF 📓 Jupyter Notebook ⚠️ IMPORTANT: This video focuses on understanding the ARCHITECTURE of Multimodal RAG. In the NEXT video, we'll move from theory to PRACTICAL IMPLEMENTATION and build the complete Multimodal RAG Chatbot from scratch using Python. 🎯 This series is useful for: • AI Engineers • Generative AI Developers • Machine Learning Engineers • RAG Developers • LLM Developers • Python Developers • Beginners learning Multimodal AI • Anyone interested in AI Engineering By the end of this video, you'll have a clear understanding of how a Multimodal RAG system connects documents, embeddings, vector search, retrieved images, and multimodal LLMs into one complete pipeline. Everything is explained in simple Tamil with an easy-to-follow architecture. 🔥 If you're learning RAG, Multimodal AI, LLMs, or Generative AI, make sure to watch the next practical implementation video as well. 👍 Like 📤 Share 💬 Comment 🔔 Subscribe to Kishorelytics for more AI, RAG, LangChain, MCP, LangGraph, LLM and Generative AI tutorials. #MultimodalRAG #RAG #RetrievalAugmentedGeneration #MultimodalAI #GenerativeAI #LLM #AI #ArtificialIntelligence #CLIP #FAISS #LangChain #Groq #PyMuPDF #VisionLanguageModel #AIEngineering #RAGTutorial #Python #GenAI #AIEngineer #AIAgents #TamilAI #AIinTamil #MachineLearning #Kishorelytics