Overview
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Learn the fundamentals of LangChain for building scalable JavaScript/TypeScript large language model applications trained on custom data in this 52-minute tutorial. Explore LangChain's framework and library, packed with useful prompts, interfaces, indexes, and tools for creating chatbots, personal assistants, and question-answering systems. Discover how LangChain is making AI applications more accessible to JavaScript and TypeScript developers. Cover key topics including LangChain's problem-solving capabilities, use cases, components, chains, prompt templates, agents, memory, indexes, embeddings, and question-answering techniques for documents. Access visual guides, code repositories, and join a community for further learning and support.
Syllabus
What problems are LangChain solving?
LangChain usecases + components
LangChain demo
Simple LangChain chain
LangChain prompt templates
LangChain agents
LangChain memory
LangChain indexes + embeddings vectorstores
Question answering docs
Taught by
Chat with data