Build RAG Pipeline From Scratch - Data Ingestion to Vector DB Pipeline - Part 1

Learn to construct a complete RAG (Retrieval-Augmented Generation) pipeline from the ground up using LangChain in this comprehensive 59-minute tutorial. Master the fundamental concepts of RAG technology and understand its importance in modern AI applications. Begin with data ingestion and preprocessing techniques, then progress through project setup and explore LangChain's document structure. Discover how to generate embeddings for your data and implement vector database storage solutions. Build a functional RAG retriever system that forms the backbone of powerful generative AI applications. Follow along with hands-on coding examples and step-by-step implementation guidance that covers everything from raw data processing to vector database management. Gain practical experience with LangChain's tools and frameworks while building a robust foundation for real-world RAG applications. Access the complete source code through the provided GitHub repository to practice and extend your learning beyond the tutorial.