The document contains agent-facing Smart Reply entries.
ArticleSuggestion
The entire document content as a whole can be used for query results.
Only for Contact Center Solutions on Dialogflow.
ExtractiveQa
Documents for which unstructured text is extracted and used for
question answering.
Faq
The document content contains question and answer pairs as either HTML or
CSV. Typical FAQ HTML formats are parsed accurately, but unusual formats
may fail to be parsed.
CSV must have questions in the first column and answers in the second,
with no header. Because of this explicit format, they are always parsed
accurately.
SmartReply
The legacy enum for agent-facing smart reply feature.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-21 UTC."],[[["This documentation describes the `Document.Types.KnowledgeType` enum within the Google Cloud Dialogflow v2beta1 API, detailing the various types of knowledge a document can represent."],["The `KnowledgeType` enum specifies how document content is structured and used, with options including `AgentFacingSmartReply`, `ArticleSuggestion`, `ExtractiveQa`, `Faq`, `SmartReply`, and `Unspecified`."],["Different knowledge types correspond to specific functionalities, like `Faq` for question-answer pairs and `ExtractiveQa` for unstructured text extraction for question answering."],["The `ArticleSuggestion` knowledge type indicates that the entire document can be used for query results, and is specific to Contact Center Solutions on Dialogflow."],["The `Faq` knowledge type can handle both HTML or CSV formats, with specific formatting requirements for each to achieve accurate parsing."]]],[]]
