RecursiveCharacterTextSplitter in LangChain | The Best Way to Chunk Text for RAG?

In this tutorial, we dive deeper into *text chunking in LangChain* and explore one of the most commonly used splitters for RAG applications — **RecursiveCharacterTextSplitter**. Instead of simply splitting text at a fixed character, RecursiveCharacterTextSplitter recursively tries different separators to create more meaningful chunks while preserving the structure of the original text. Topics covered What is RecursiveCharacterTextSplitter? Why do we need recursive text splitting? How recursive splitting works Separators used by the splitter Chunk size Chunk overlap Splitting documents for RAG How chunking can affect retrieval quality Practical implementation in LangChain Understanding how to properly chunk your documents is an important part of building effective **RAG and LLM applications**. Watch the complete video for the detailed explanation and code walkthrough. #LangChain #RAG #RecursiveCharacterTextSplitter #TextChunking #Python #LLM #GenerativeAI #AI #MachineLearning