LangChain Tutorial: Data Ingestion & Document Loaders | From Python to GenAI

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Title: LangChain – Data Ingestion and Document Loaders Series: Python for Generative AI by Punyakeerthi BL Efficient data ingestion is the foundation of any Retrieval-Augmented Generation (RAG) or Generative AI pipeline. In this video, you’ll learn how LangChain handles document loading, preprocessing, and data management — the essential first step to building powerful GenAI applications. You’ll discover: What data ingestion means in LangChain How to use document loaders for different file types (PDF, CSV, web pages, etc.) The workflow for preparing data for embeddings and retrieval How this step fits into the overall RAG pipeline This tutorial is perfect for Python developers, AI enthusiasts, and data engineers who want to understand how LangChain bridges raw data with large language models. 🎥 Watch the full playlist: 👉 LangChain Tutorial: From Python to GenAI : https://youtube.com/playlist?list=PLkt9npIo1sXSKgNrdaF6RjlV-69NSsDLZ&si=dpcM71YqE3jiIchL 🔗 Connect with me on LinkedIn: https://www.linkedin.com/in/punyakeerthi-bl-864382aa/ 📧 For professional inquiries: punya8147@gmail.com 💡 If you found this video helpful: 👍 Like the video 💬 Comment what you’d like to learn next 🔔 Subscribe for weekly tutorials on Python + Generative AI Let’s keep learning, building, and creating smarter AI solutions together! #LangChain #GenerativeAI #PythonforAI #AIEngineering #RAG #RetrievalAugmentedGeneration #LangChainTutorial #DataIngestion #DocumentLoaders #LLMs #OpenAI #AIProjects #MachineLearning #PythonTutorial #AICoding #AIinPython #DataPipeline #AIWorkflow #PromptEngineering #AICommunity #TechEducation #AIDevelopment #AIApplications #ArtificialIntelligence #LLMDevelopment #GenerativeAITutorial #LangChainforBeginners #AIForDevelopers #pkaitechworld