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Good persons are lazy. They discover probably the most environment friendly methods to resolve advanced issues, minimizing effort whereas maximizing outcomes.
In Generative AI purposes, this effectivity is achieved by chunking. Similar to breaking a e book into chapters makes it simpler to learn, chunking divides important texts into smaller, manageable elements, making them simpler to course of and perceive.
Earlier than exploring the mechanics of chunking, it’s important to grasp the broader framework through which this method operates: Retrieval-Augmented Technology or RAG.
What’s RAG?
Retrieval-augmented era (RAG) is an method that integrates retrieval mechanisms with massive language fashions (LLM fashions). It enhances AI capabilities utilizing retrieved paperwork to generate extra correct and contextually enriched responses.
Introducing Chunking
