Agentic Chunking Explained: Smarter Text Splitting for AI & RAG Systems
Автор: CodeCraft Academy
Загружено: 2025-12-24
Просмотров: 52
Agentic Chunking is changing how AI systems process large documents. Unlike traditional chunking methods that split text by fixed token or character limits, Agentic Chunking uses AI agents to intelligently decide where, how, and why content should be split.
In this video, you’ll learn:
What Agentic Chunking is (in simple terms)
Why traditional chunking fails in complex documents
How Agentic Chunking works step-by-step
Agentic Chunking vs Semantic & Fixed Chunking
Why Agentic Chunking is critical for Agentic RAG systems
Real-world use cases in enterprise AI, PDFs, and knowledge bases
If you’re working with LLMs, RAG pipelines, LangChain, LangGraph, n8n, or AI agents, this video will help you design more accurate and reliable AI systems.
👉 Perfect for AI engineers, ML practitioners, and software developers building production-grade GenAI applications.
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