RecursiveCharacterTextSplitter in LangChain | Smart Text Chunking | Agentic AI Bootcamp

Description

In this episode, we’ll explore the RecursiveCharacterTextSplitter, one of the most powerful tools in LangChain for text chunking and data preparation. You’ll learn: 🧠 What is RecursiveCharacterTextSplitter 🔍 How it differs from the normal CharacterTextSplitter ⚙️ How recursive splitting ensures clean, context-rich chunks 💻 Step-by-step demo for preparing text for embeddings and RAG pipelines 🧩 How it improves retrieval accuracy and reduces token waste By the end of this video, you’ll master smart text chunking for your LangChain RAG projects! 💪 📌 GitHub Repository (Code + Notes): 👉 https://github.com/dearnidhi/Agentic-AI-HandsOn-Bootcamp 📩 Contact: ✉️ Email: nidhiyachouhan12@gmail.com 💼 LinkedIn: https://www.linkedin.com/in/nidhi-chouhan-544650b4/ 📸 Instagram: @dear_nidhi | @codenidhi ✨ Don’t forget to LIKE 👍, COMMENT 💬, SHARE 📢, and SUBSCRIBE 🔔 to follow the Agentic AI Bootcamp playlist by Code Nidhi! #codenidhi #nidhichouhan #AgenticAIBootcamp #LangChain #RecursiveCharacterTextSplitter #TextSplitter #DataTransformation #RAG #AI #Python #LangChainTutorial #LangChainForBeginners #AIlearning #LLM #DocumentChunking #AIpipeline #CodeNidhi #NidhiChouhan #AgenticAI recursive character text splitter, langchain recursive text splitter, langchain text splitter tutorial, smart text chunking langchain, rag data preprocessing, langchain data transformation, agentic ai bootcamp, langchain for beginners, python langchain tutorial, ai data pipeline, document chunking langchain, embedding data prep, code nidhi, nidhi chouhan, dear nidhi, langchain ai project, rag pipeline tutorial, prepare data for embeddings, langchain recursive splitter example, langchain data preparation