MASTER SERIES - RAG 5. DATA INGESTION AND PREPROCESSING

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🎯 Title: Data Ingestion & Preprocessing in RAG | Building a Reliable Data Pipeline 📘 Description: In this video, we dive deep into one of the most important stages of Retrieval-Augmented Generation (RAG) — Data Ingestion and Preprocessing. You’ll learn how raw data is collected, cleaned, and structured so that your AI models can retrieve the right information at the right time. We’ll cover: 🔹 What Data Ingestion means in the RAG workflow 🔹 How to prepare and preprocess text data for embedding and indexing 🔹 Techniques for handling large documents, PDFs, and structured/unstructured data 🔹 Common preprocessing tools and pipelines used in real-world RAG systems 🔹 Best practices for maintaining data quality and consistency Whether you’re a data engineer, AI enthusiast, or developer, this session will help you understand how high-quality preprocessing directly improves retrieval accuracy and response quality in AI systems. 🚀 Watch till the end to see a simple demo and practical workflow explanation! 🔔 Subscribe for more videos on: Retrieval-Augmented Generation (RAG) Vector Databases LLMs and AI Development Deep Learning & NLP #RAG #DataIngestion #Preprocessing #LLM #AI #MachineLearning #VectorDatabase #Embeddings #DeepLearning