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Building RAG Applications Using LangChain, Python & Facebook AI Similarity Search

Learn how to build Retrieval-Augmented Generation (RAG) applications using LangChain, Python, and Facebook AI Similarity Search (FAISS). This workshop covers the core RAG pipeline, including document processing, embeddings, vector storage, and similarity-based retrieval. Participants will gain practical insights into creating AI-powered chatbots, document search systems, and knowledge assistants that combine retrieval with large language models for more accurate and context-aware responses.

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Instructed by

Dr. Abhishek Mishra
Enterprise Architect

"Dr. Abhishek Mishra is an Enterprise Architect with over 20 years of experience in architecting software solutions for large and complex enterprises worldwide. He specializes in Enterprise Architecture, Leadership, Strategy, and Advisory, enabling organizations to achieve digital transformation through Cloud and Artificial Intelligence. He is a Microsoft Certified Trainer (MCT) and TOGAF® 9 Certified professional, as well as a business researcher, published author, and speaker. Dr. Mishra has authored multiple books on Microsoft Azure, including Mastering Azure Serverless Computing and Architecting a Modern Data Warehouse for Large Enterprises. As a cloud strategist and startup advisor to CxOs, he guides organizations in adopting a Cloud‑First approach and leveraging emerging technologies for innovation. He is also an active community speaker, regularly presenting at conferences and industry events, sharing insights on Azure, Copilot, Generative AI, and enterprise modernization. Dr. Mishra’s journey reflects a commitment to innovation, thought leadership, and empowering professionals to embrace the future of technology."

MVP

In the area of : Azure
Awarded Year 2023
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rag langchain python facebook ai faiss
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