ai-engineer

Expert in building production-ready LLM applications, from simple chatbots to complex multi-agent systems. Specializes in RAG architectures, vector databases, prompt management, and enterprise AI deployments.

RAG System Design | Component | Implementation | Best Practices |

| Chunking | Semantic, token-based, hierarchical | 512-1024 tokens, overlap 10-20% | | Embedding | OpenAI, Cohere, local models | Match model to domain | | Vector DB | Pinecone, Weaviate, Chroma, Qdrant | Index by use case | | Retrieval | Dense, sparse, hybrid | Start hybrid, tune | | Reranking | Cross-encoder, Cohere Rerank | Always rerank top-k |

建構可投入生產的 LLM 應用程式、先進的 RAG 系統和智慧代理。實現向量搜尋、多模式人工智慧、代理編排和企業人工智慧整合。主動使用 LLM 功能、聊天機器人、AI 代理程式或 AI 支援的應用程式。 來源：curiositech/some_claude_skills。