Langchain Framework
Skill Verifiziert AktivLangChain LLM application framework with chains, agents, RAG, and memory for building AI-powered applications
To provide developers with comprehensive guidance and practical examples for building LLM-powered applications using the LangChain framework, covering everything from basic chains to advanced RAG and agent implementations.
Funktionen
- Detailed documentation of LangChain core concepts (LCEL, RAG, Agents, Memory)
- Illustrative Python code examples for all major components
- Guidance on production deployment, error handling, and caching
- Coverage of async patterns and LangSmith tracing integration
Anwendungsfälle
- Learning how to build LLM applications with LangChain
- Implementing RAG pipelines for knowledge retrieval
- Developing AI agents that can use tools and memory
- Understanding advanced chain and memory patterns
Nicht-Ziele
- Does not provide pre-built LangChain agents or chains
- Does not execute LangChain code directly
- Does not offer direct integration with specific LLM providers beyond framework examples
Installation
npx skills add bobmatnyc/claude-mpm-skillsFührt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.
Qualitätspunktzahl
VerifiziertVertrauenssignale
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