Скачать или смотреть 20+ Chunking Techniques to build better RAG System

I Built the Ultimate Text Chunking Playground for RAG Systems!

In this video, I show you how I created a comprehensive Streamlit app featuring 20+ different text chunking techniques for building better RAG systems!

What I Built:
🔹 Modern web playground with 20+ chunking techniques
🔹 Interactive parameter controls for each method
🔹 Real-time performance metrics and visualizations
🔹 Sample texts to experiment with different approaches
🔹 Modular Python classes you can use in your own projects

Techniques Covered:
🔹 Basic methods (Naive, Fixed-size, Sliding window)
🔹 Advanced techniques (Structured, Semantic, Token-based)
🔹 AI-powered approaches (Contextual, Embedding, Hybrid)

💡 Perfect for:
🔹 RAG system developers
🔹 AI engineers working with document processing
🔹 Anyone building search and retrieval systems
🔹 Learning about text preprocessing techniques

The entire codebase is production-ready with clean, modular architecture that you can integrate into your own projects immediately!

👍 Like this video if it helped you build better RAG systems!
💬 Comment below with your favorite chunking technique
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