常见问题解答辅助和文章建议功能利用知识库提出建议,而不是利用对话数据集。文章建议会在对话期间向客服人员建议知识文档(例如文章)。常见问题解答辅助会基于常见问题解答对(“常见问题解答”问题及其相关解答)提出建议,而不是基于全部文章。您无需训练自定义模型即可使用这些功能:Agent Assist 使用默认基准建议模型,根据知识库提出建议。如果您想要上传自己的对话数据来为文章建议训练自定义建议模型,请与您的 Google 代表联系。自定义建议模型不适用于常见问题解答辅助。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-08-19。"],[[["\u003cp\u003eAgent Assist uses either conversation transcripts or knowledge documents to provide suggestions, requiring data upload before use.\u003c/p\u003e\n"],["\u003cp\u003eConversation datasets, used for features like Smart Reply and Summarization, are collections of conversation transcripts that train custom suggestion models.\u003c/p\u003e\n"],["\u003cp\u003eKnowledge bases, used for FAQ Assist and Article Suggestion, are collections of knowledge documents that use baseline suggestion models, without requiring custom model training.\u003c/p\u003e\n"],["\u003cp\u003eThe Agent Assist console is utilized for design-time and model testing, while all live operations must be executed via the API.\u003c/p\u003e\n"],["\u003cp\u003eUsers can begin by creating a conversation dataset or a knowledge base to start using Agent Assist features.\u003c/p\u003e\n"]]],[],null,["# Upload data\n\nOverview\n--------\n\nIn order to make suggestions, Agent Assist relies on data in the form of\neither documents or conversation transcripts. You must upload your data\nbefore you can use Agent Assist. The linked tutorials at the bottom of\nthis page walk you through the steps required to upload your data using the\n[Agent Assist console](https://agentassist.cloud.google.com).\nYou can use the console to configure Agent Assist features and test out\nhow they function.\n| **Note:** The Agent Assist console can be used during design-time and model testing phases only. All runtime operations must call the API directly. You can use the API to carry out the same actions described in the [tutorials](/agent-assist/docs/tutorials), which focus on using the console. See the Agent Assist [how-to guides](/agent-assist/docs/how-to) for details on sending API requests.\n\nData types\n----------\n\nAgent Assist uses two types of data to make suggestions to human agents:\n**Conversation datasets** , which are collections of conversation transcripts,\nand **knowledge bases** , which are collections of *knowledge documents*\n(articles or FAQ documents). Agent Assist features analyze a conversation\nin real time and make suggestions to human agents based on either conversation\ndatasets or knowledge bases.\n\n[Smart Reply](/agent-assist/docs/smart-reply) and\n[Summarization](/agent-assist/docs/summarization-console) surface suggestions\ntrained on conversation datasets. Smart Reply suggests text responses to agents\nas they converse with an end-user, and Summarization suggests conversation\nsummaries after an exchange with an end-user has completed. Each model is custom\nby definition because each conversation dataset is made up of your own\nconversation transcript data.\n\nThe [FAQ Assist](/agent-assist/docs/faq) and\n[Article Suggestion](/agent-assist/docs/article-suggestion) features draw on\nknowledge bases to make recommendations instead of conversation datsets. Article\nSuggestion suggests *knowledge documents* (such as articles) to agents during a\nconversation. FAQ Assist makes suggestions based on FAQ pairs (an FAQ question\nand its associated answer) rather than entire articles. You do not need\nto train a custom model in order to use these features: Agent Assist\nuses default baseline suggestion models to make suggestions from your\nknowledge base. If you want to upload your own conversation data to train a\ncustom suggestion model for Article Suggestion, please contact your Google\nrepresentative. Custom suggestion models are not available for FAQ Assist.\n\nWhat's next\n-----------\n\nCreate a [conversation dataset](/agent-assist/docs/conversation-dataset) or a\n[knowledge base](/agent-assist/docs/knowledge-base)."]]