Ep: 03 - Text Splitters in LangChain Explained | LangChain Playlist
Welcome to Episode 03 of the LangChain Playlist! 🚀
📁 GitHub Code Repository: https://github.com/deepakat002/langchain
📺 Full Playlist: • Ep: 01 - What is LangChain? | LangChain P...
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In this video, we dive deep into *Text Splitters* — one of the most important components in LangChain’s document processing pipeline.
Text splitters help divide long documents into smaller, manageable chunks before sending them to LLMs. This is essential for building effective and scalable *RAG (Retrieval-Augmented Generation)* applications.
🧠 What you'll learn in this episode:
Why we need text splitters in LangChain
Types of splitters: `RecursiveCharacterTextSplitter`, `CharacterTextSplitter`, `MarkdownTextSplitter`, and more
How chunk size and overlap impact performance
Best practices for choosing the right splitter
Visual examples and hands-on code
Next Episode: Embeddings in LangChain 🧠📦
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