LangChain in JavaScript: Building LLM Applications

Building applications powered by large language models requires more than just making simple API calls. This course provides a structured guide to creating production-ready AI applications using JavaScript and the LangChain framework. You will move from fundamental concepts of generative AI to building structured chains, integrating external data through retrieval-augmented generation (RAG), and orchestrating automated agents. What you'll learn: - Understand core LLM concepts, model wrappers, and configuration parameters in JavaScript - Construct robust prompt templates and parse structured outputs reliably - Build sequential and dynamic workflows using modern LangChain expression syntax - Implement retrieval-augmented generation (RAG) using vector stores and embeddings - Manage conversational memory and context across multi-turn interactions - Configure AI agents equipped with custom tools to perform external tasks The course begins with foundational terminology and architecture basics before progressing through practical code patterns for modern JavaScript environments. It is designed specifically for JavaScript developers looking to enter AI application development with no prior machine learning background required. Start reading today to build your own intelligent JavaScript applications.