
MASTER SERIES - RAG - 15 - SQL DATABASES PARSING AND PROCESSING
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Welcome back to the Agentic AI Bootcamp π In this episode, weβll learn about one of the most important data preprocessing tools in LangChain β the CharacterTextSplitter. Youβll learn: π What is CharacterTextSplitter in LangChain βοΈ Why we split documents into smaller text chunks π§ How chunking improves embedding and retrieval π» Step-by-step code demo with practical examples π§© 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 β to data transformation like a pro πͺ π GitHub Repository (Code + Notes): π https://github.com/dearnidhi/Agentic-AI-HandsOn-Bootcamp π© Contact: βοΈ Email: nidhiyachouhan12@gmail.com πΌ LinkedIn: https://www.linkedin.com/in/nidhi-chouhan-544650b4/ πΈ Instagram: @dear_nidhi | @codenidhi β¨ Donβt forget to LIKE π, COMMENT π¬, SHARE π’, and SUBSCRIBE π 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

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