RAG & LangChain Tutorials

Chunking, embeddings, vector search and building chat-with-your-docs apps. Every lesson is free, visual and written in simple English.

In-depth visual guides

RAG & LangChainRAG (Retrieval-Augmented Generation)

Learn RAG step by step with interactive visuals. Watch the RAG pipeline animate, play with chunk size and overlap, run a similarity search in your browser and see the exact prompt the LLM receives. Embeddings, vector databases, evaluation and LangChain code.

12 min read3 interactive visualsBeginner

LangChain + RAG + LangGraph

RAG From ScratchIntermediate · 8 min RAG FoundationsBeginner · 12 min Document ExtractionIntermediate · 12 min Chunking StrategiesIntermediate · 12 min Embeddings & Vector DatabasesIntermediate · 14 min Retrievers & Re-RankingAdvanced · 14 min RAG EvaluationAdvanced · 12 min LangGraph & Agentic RAGAdvanced · 14 min Production ChallengesAdvanced · 12 min

LangChain Basics

LLMs & Chat ModelsBeginner · 35 min Prompt TemplatesBeginner · 35 min Output Parsers & Structured OutputBeginner · 35 min Chains with LCEL & RunnablesBeginner · 35 min Memory & Chat HistoryBeginner · 35 min

RAG: Chat with Your Documents

Document LoadersBeginner · 35 min Text Splitters (Chunking)Beginner · 35 min EmbeddingsBeginner · 35 min Vector StoresBeginner · 35 min RetrieversBeginner · 35 min RAG: Chat with your PDFBeginner to intermediate · 35 min

Tools, Agents & Guardrails

Tools & Tool CallingBeginner · 35 min Agents with create_agentBeginner to intermediate · 35 min Middleware & GuardrailsIntermediate · 35 min

Production & Beyond

Callbacks, Caching, Rate Limits & LangSmithIntermediate · 35 min LangChain Classic: Reading Old CodeBeginner · 35 min LangGraph Basics: the Engine behind AgentsIntermediate · 35 min