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Build a Complete RAG Pipeline with Microsoft Fabric, Azure OpenAI & AI Search ๐ In this video, we walk through how to build a full Retrieval Augmented Generation (RAG) system from scratch using Microsoft Fabric. RAG is one of the most powerful patterns in modern AI applicationsโit combines retrieval (search) with generation (LLMs) to produce accurate, context-aware responses. Instead of relying only on pre-trained knowledge, your AI can now answer questions using your own data. ๐ What Youโll Learn - What is RAG and why it matters - How to load and prepare your dataset - Text chunking strategies for LLMs - Generating embeddings using Azure OpenAI - Storing vectors in Azure AI Search - Performing semantic vector search - Building context-aware prompts - Generating final responses using GPT models โ๏ธ Technologies Used - Microsoft Fabric - Azure OpenAI - Azure AI Search - SynapseML - Apache Spark ๐ง RAG Pipeline Overview In this tutorial, we implement the complete flow: - Data Ingestion - Chunking (Text Splitting) - Embedding Generation - Vector Indexing (Azure AI Search) - Query Embedding - Vector Similarity Search Context Preparation Response Generation (LLM) ๐ Why RAG? RAG helps you build AI systems that are: โ More accurate โ Context-aware โ Domain-specific โ Up-to-date This is the foundation of: AI chatbots Enterprise search Knowledge assistants Copilots ๐ Links & Resources Azure OpenAI: https://learn.microsoft.com/azure/ai-services/openai/ Azure AI Search: https://learn.microsoft.com/azure/search/ Microsoft Fabric: https://learn.microsoft.com/fabric/ SynapseML: https://github.com/microsoft/SynapseML ๐https://github.com/mayankchugh-learning/AzureOpenAI-RAG ๐ (Blog link coming soon) ๐จโ๐ป Connect with Me LinkedIn: https://www.linkedin.com/in/mchugh77/ Portfolio: https://mayankchugh-learning.github.io/ Buy Me a Coffee: https://buymeacoffee.com/mayankchugh ๐ Support the Channel If you found this helpful: Like ๐ Share ๐ Subscribe ๐ ๐ข Hashtags #RAG #AzureOpenAI #MicrosoftFabric #AISearch #GenerativeAI #MachineLearning #AI #DeepLearning #VectorSearch #LLM #DataScience #Python #AIEngineering #AIApps #TechTutorial #ArtificialIntelligence #CloudAI #SynapseML #BigData #AIArchitecture