Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.
安装
npx skills add vuralserhat86/antigravity-agentic-skills --skill langchain_patternsnpx skills add vuralserhat86/antigravity-agentic-skills --skill langchain_patterns -a claude-code -gnpx skills add vuralserhat86/antigravity-agentic-skills --skill langchain_patterns -a codex -ggemini skills install https://github.com/vuralserhat86/antigravity-agentic-skills.git --path skills/langchain_patternsgh skill install vuralserhat86/antigravity-agentic-skills langchain_patternsgit clone --depth 1 https://github.com/vuralserhat86/antigravity-agentic-skills /tmp/vuralserhat86__antigravity-agentic-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/vuralserhat86__antigravity-agentic-skills/skills/langchain_patterns ~/.claude/skills/langchain_patterns # Claude Code
cp -R /tmp/vuralserhat86__antigravity-agentic-skills/skills/langchain_patterns ~/.agents/skills/langchain_patterns # Codex, Cursor, Gemini CLI, Copilot, OpenCode