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 |

构建可投入生产的 LLM 应用程序、先进的 RAG 系统和智能代理。实现矢量搜索、多模式人工智能、代理编排和企业人工智能集成。主动使用 LLM 功能、聊天机器人、AI 代理或 AI 支持的应用程序。 来源：curiositech/some_claude_skills。