LangChain's Model component is the core of every AI app. Learn how LLMs, Chat Models, and Embeddings actually work - from token generation to semantic search - with practical code and real-world examples.
Sameer Singh
Learn the 6 core building blocks of LangChain - Models, Prompts, Chains, Indexes, Memory, and Agents. Understand what each component does, why it exists, and how they work together to power real AI apps.
Sameer Singh
Master LangChain from the ground up. Learn how RAG systems work, how LLM memory is managed, and how agents take action - complete with working Python code. Your full roadmap to building real-world AI apps.
Sameer Singh