Integrate and orchestrate Kafka and RabbitMQ messaging for the toLink-Rag platform.
npx skills add https://github.com/ql-link/LinkRag --skill mq-middleware
Please help me install this Agent Skill. Skill: mq-middleware Source: https://github.com/ql-link/LinkRag/tree/main/.ai/skills/mq-middleware Command: npx skills add https://github.com/ql-link/LinkRag --skill mq-middleware
指导 LLM 如何使用 toLink-Rag 的 MQ 消息中台，统一收发、定义新消息类型并处理多厂商适配逻辑。
在配置好 MQ_VENDOR、初始化开关以及必要的环境依赖后，使用 MQService 进行发送或订阅来实现异步任务处理。
High-intent search queries and answers about installing and using this skill.
To coordinate Kafka and RabbitMQ messaging, you can use a vendor-agnostic MQFactory adapter that provides a unified entry point for sending and subscribing across multiple MQ vendors.
Defining new MQ message types requires using standardized payload structures provided by the MQ middleware, ensuring that new additions maintain backward compatibility across existing consumers.
Yes, you can switch between Kafka and RabbitMQ in production by configuring the MQ_VENDOR switch, which routes traffic through the appropriate vendor-agnostic adapter without code changes.
You do not necessarily need to manually initialize Kafka topics; the middleware supports optional startup initialization to ensure core channels like parse_task and parse_result are ready.
The best way to handle asynchronous task processing across multiple MQ vendors is to route send and subscribe operations through a centralized MQService interface that abstracts vendor-specific logic.
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