Translations:FACTS About Building Retrieval Augmented Generation-based Chatbots/42/zh: Difference between revisions

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Novel architectural patterns are emerging where enterprise-wide chatbots act as ‘switchboards’, directing inquiries to specialized bots tuned with domain-specific data. This multibot architecture allows for the concurrent development of specialized chatbots while providing users with a unified interface. Our NVBot platform supports the coexistence and orchestration of multiple chatbots within an enterprise. The debate over a single bot or multiple specialized bots is ongoing. We envision a landscape where domain-specific bots coexist with a centralized information bot, supported by ’copilots’—generative AI capabilities integrated into workplace environments like programming IDEs and collaboration tools. At NVIDIA, we’re actively exploring all three chatbot variations—domain-specific, enterprise-wide, and copilot as generative AI reshapes workplace efficiency and information accessibility.

新型的架构模式正在出现，其中企业范围内的聊天机器人充当“交换机”的角色，将查询引导至调校有特定领域数据的专业机器人。这种多机器人架构允许专业聊天机器人的并行开发，同时为用户提供统一的界面。我们的NVBot平台支持企业内多个聊天机器人的共存和协调。关于单一机器人还是多个专业机器人的争论仍在继续。我们设想一个领域特定机器人与集中信息机器人共存的场景，并由“副驾驶”支持——将生成式AI能力集成到编程IDE和协作工具等工作环境中。在NVIDIA，我们正在积极探索这三种聊天机器人变体——领域特定、企业范围和副驾驶，因为生成式AI正在重塑工作场所的效率和信息获取方式。