AI & Machine Learning
LangChain
Build LLM-powered applications with LangChain. Use when a user asks to create AI chains, build RAG pipelines, implement agents with tools, set up document loaders, create vector stores, build conversational AI, implement prompt templates, chain LLM calls, add memory to chatbots, or orchestrate language model workflows. Covers LangChain 1.x (Python and TypeScript) with LCEL, create_agent, structured output, tool calling, retrieval, and production patterns.
- Publisher / source
- TerminalSkills Library
- Upstream record
- TerminalSkills/skills
- Version
- Version 4
- Published
- Publication review
- Approved for publication
- Content fingerprint
ca7360be37a68549b6cd6cc4540a2594e112b748253bf2d12b41a6e08cc08aa7