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Last updated: August 21, 2026
How to Build a Custom RAG Chatbot with OpenAI & LangChain – A Hands-On Tutorial
1. What is RAG and Why It Matters for Your AI Projects
- Define Retrieval-Augmented Generation (RAG) and how it combines retrieval with LLMs to reduce hallucinations.
- Explain the core advantage: grounding AI responses in your own data (documents, PDFs, knowledge bases).
- Outline real-world use cases — customer support, internal Q&A, research assistants.
🤖 Editor’s Pick
Editor’s Pick: vector database for storing and retrieving document embeddings efficiently.
