Build a Vision RAG System From Scratch: The Future of Multimodal Retrieval-Augmented Generation!

🖼️🤖 Vision RAG: The Future of Document Search is Here! Forget OCR-only pipelines! Now you can embed images as well as text and search your docs like never before. Welcome to the ultimate tutorial on Vision RAG — the system that takes Retrieval-Augmented Generation (RAG) to a new dimension by adding true visual intelligence! Whether you’re an AI enthusiast, dev, or researcher, this video unlocks new ways to process, search, and understand both text and images in documents. 📚 GitHub Repo: https://github.com/samugit83/TheGradientPath/tree/master/Rag/vision_rag 🚀 What You’ll Learn ❓ What is Vision RAG? Discover how Vision RAG fuses state-of-the-art text 📝 and image 🖼️ processing into one powerful workflow. No more text-only limits! ⚡ Step-by-Step Setup Get up and running fast: requirements, environment configuration, and database setup using Docker 🐳 & PostgreSQL 🐘 with pgvector 🧩. 📥 Ingestion Pipeline Watch Vision RAG extract, chunk, and embed both text & images (OpenAI 🤖 + Cohere 🌈) — then store them for lightning-fast semantic search. ⚡ 🔎 Powerful Multimodal Search See queries instantly retrieve relevant passages and visuals from docs, research papers, manuals, and more! 🔥 💡 Contextual, Multimodal Answers Watch Vision RAG generate answers and insights by combining retrieved text & images using LLMs like GPT 🤖 or Gemini 🌟. 🏗️ Architecture Deep Dive Explore the modular system design: from doc ingestion, through embedding generation, to answer production. 🛠️ 🛠️ Under the Hood 🐳 Docker-first deployment docker-compose up -d — your database, extensions, and network are ready in seconds. 🐘 PostgreSQL 15 + pgvector IVFFLAT indexing for blazingly fast cosine similarity 🚀. 🧩 Unified ingestion layer Extracts text (optionally via Tesseract OCR 👁️‍🗨️) and images from PDFs. Page-as-image mode for layout-heavy docs. Stores rich metadata for debugging and traceability 🕵️. 🔄 Query Layer Converts questions into both text & vision vectors 🎯.