langchain4j-rag-implementation-patterns
Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pi
5091 Skills
Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pi
Testing strategies for LangChain4j-powered applications. Mock LLM responses, test retrieval chains,
Automates Langfuse Cloud dashboard interactions using Playwright MCP. Captures screenshots for docum
LangGraph framework for building stateful, multi-agent AI applications with cyclical workflows, huma
LangGraph low-level agent orchestration. Build stateful, durable agents with graphs, persistence, st
LangGraph patterns for AI agents and workflows.Use when: building ReAct agents, multi-agent systems,
Expert knowledge of LangGraph agent patterns for SEPilot Desktop. Use when implementing AI agents, g
Use when specifying or implementing LangGraph applications - from architecture planning and specific
LangGraph stateful multi-agent graphs with categorical coordination patterns and cyclic workflows. U
Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machi
Design and implement multi-agent workflows with LangGraph 0.2+ - state management, supervisor-worker
Debug and analyze {{PROJECT_NAME}} LangGraph agent traces. Use when investigating agent behavior pat