CharacterTextSplitter in LangChain | Data Chunking Made Easy | Agentic AI Bootcamp

Description

Welcome back to the Agentic AI Bootcamp 🚀 In this episode, we’ll learn about one of the most important data preprocessing tools in LangChain — the CharacterTextSplitter. You’ll learn: 🔍 What is CharacterTextSplitter in LangChain ⚙️ Why we split documents into smaller text chunks 🧠 How chunking improves embedding and retrieval 💻 Step-by-step code demo with practical examples 🧩 How this fits into the RAG (Retrieval-Augmented Generation) pipeline This video continues from our previous one on Data Ingestion using Document Loaders, helping you move from data loading ➜ to data transformation like a pro 💪 📌 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 🔔 for more AI tutorials from the Agentic AI Bootcamp by Code Nidhi! #codenidhi #nidhichouhan #AgenticAIBootcamp #LangChain #CharacterTextSplitter #DataTransformation #TextSplitter #RAG #AI #Python #LangChainTutorial #LangChainForBeginners #LLM #DocumentChunking #AIPipeline #AIlearning #CodeNidhi #NidhiChouhan #AgenticAI