llm-app-patterns - Patterns for RAG, agents, and LLMOps
Provides production-ready patterns for RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring.
Tags
Updated: 2026-10-12Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Design RAG pipelines
- Configure document chunking
- Select embedding models
- Choose vector databases
- Implement retrieval strategies
- Generate grounded responses
- Design agent architectures
- Integrate tool calling
- Coordinate multi-agent workflows
- Set up LLMOps monitoring
Inputs
- LLM application requirements
- Source documents
- Embedding model options
- Vector database options
- Tool definitions
- Monitoring needs
Outputs
- RAG architecture guidance
- Context-grounded responses
- Agent architecture guidance
- Tool-calling workflows
- Multi-agent workflow designs
- LLMOps monitoring guidance
Requirements
- LLM access
- Embedding model for RAG
- Vector database for retrieval
- Tool execution support