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Build a complete Multimodal RAG (Retrieval-Augmented Generation) pipeline from scratch using Azure OpenAI and Azure AI Search. In this video, I walk through: š Step 1 ā PDF Parsing: Extract text and images from PDFs using PyMuPDF š¼ļø Step 2 ā Image Descriptions: Generate searchable text from images using GPT-4o Vision š Step 3 ā Chunking & Indexing: Split content into overlapping chunks, generate embeddings, and index into Azure AI Search with hybrid search š Step 4 ā 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 š GitHub Repo: https://github.com/sujithre/multimodal-rag-pipeline #RAG #AzureOpenAI #AzureAISearch #GenerativeAI #Python #MultimodalAI #LLM