Introduction to Chunking in RAG | Why Chunking is required? | Types of Chunking Strategies | Gen AI
Discover the critical role of chunking in the Retrieval-Augmented Generation (RAG) pipeline! 🌟 In this video, I provide a comprehensive overview of chunking, explaining where it fits in the RAG process and why it's essential. You'll see visual representations of how chunking works on large documents and learn about the five key limitations that make chunking necessary. Additionally, I cover the five types of chunking methods: fixed size, recursive, semantic, agentic, and document-specific.
Whether you're new to AI or looking to deepen your understanding, this video is a must-watch for anyone interested in optimizing AI retrieval processes. Join me for an insightful dive into chunking in RAG!
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