langchain - Build LLM applications with LangChain
Build LangChain JS/TS applications with chains, agents, RAG, tools, memory, structured output, vector stores, and LangSmith tracing.
Tags
Updated: 2026-09-29Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Compose LCEL chains
- Create tool-calling agents
- Implement RAG pipelines
- Manage conversation memory
- Parse structured outputs
- Integrate vector stores
- Trace with LangSmith
Inputs
- User prompts
- Conversation history
- Documents
- Tool definitions
- Provider API keys
- Model configuration
Outputs
- Model responses
- Structured data
- Retrieved documents
- Tool results
- Agent execution results
Requirements
- Node.js TypeScript environment
- LangChain packages
- Supported LLM provider
- Provider API credentials