End-to-End RAG with Azure OpenAI SDK – Text + Images

Description

Build a complete Multimodal RAG (Retrieval-Augmented Generation) pipeline from scratch using Azure OpenAI and Azure AI Search. In this video, I walk through: 📄 Step 1 – PDF Parsing: Extract text and images from PDFs using PyMuPDF 🖼️ Step 2 – Image Descriptions: Generate searchable text from images using GPT-4o Vision 🔗 Step 3 – Chunking & Indexing: Split content into overlapping chunks, generate embeddings, and index into Azure AI Search with hybrid search 🔍 Step 4 – RAG Query: Hybrid search + semantic reranking + GPT-4 answer generation with page citations Tech Stack: • Azure OpenAI (GPT-4o, text-embedding-3-small) • Azure AI Search (hybrid keyword + vector + semantic reranking) • PyMuPDF, LangChain, Python 🔗 GitHub Repo: https://github.com/sujithre/multimodal-rag-pipeline #RAG #AzureOpenAI #AzureAISearch #GenerativeAI #Python #MultimodalAI #LLM