Data Transformation in LangChain | TextSplitter Explained with Practical Example

Description

In this video, we’ll dive into Data Transformation using TextSplitter — one of the most essential steps in LangChain’s Data Ingestion pipeline. You’ll learn: 🔍 What is TextSplitter in LangChain? ⚙️ How to split large documents into smaller chunks 🧩 Why splitting text is important for embeddings and retrieval 💻 Hands-on code example using CharacterTextSplitter and RecursiveCharacterTextSplitter 🚀 How to prepare your data for RAG-based AI applications 📌 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 LangChain & AI tutorials! #codenidhi #nidhichouhan #LangChain #TextSplitter #DataTransformation #AI #Python #RAG #DocumentProcessing #LLM #LangChainTutorial #LangChainForBeginners #AgenticAI #CodeNidhi #NidhiChouhan #ailearning langchain textsplitter, text splitter in langchain, langchain data transformation, chunking text langchain, rag data preparation, document chunking tutorial, langchain charactertextsplitter, recursive character text splitter, langchain document processing, text preprocessing for ai, data ingestion langchain, ai pipeline langchain, nidhi chouhan, code nidhi, dear nidhi, agentic ai hands-on, python langchain tutorial, langchain ai project, prepare data for rag, embedding data langchain