This is your reference guide when working with eino-ext components in Go. It covers the entire component ecosystem: ChatModel and AgenticModel for LLM inference (classic message path vs. block-based agentic path), embeddings, vector stores like Milvus and Redis, document loaders, and tools including MCP support. The guide distinguishes clearly between the two inference paths, which matters because AgenticModel handles reasoning blocks and passes tools at call time rather than via WithTools. Useful when you're choosing between providers (OpenAI, Claude, Gemini, Ark, Ollama, DeepSeek) or setting up RAG pipelines. The interface reference and code examples are practical, showing actual Generate and Stream calls rather than just listing options.
npx skills add https://github.com/cloudwego/eino-ext --skill eino-component