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.
[[["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 2025-04-09 UTC."],[[["This webpage provides documentation for the `Document.Types.KnowledgeType` enum within the Google Cloud Dialogflow v2 API, detailing its different versions."],["The latest version of `Document.Types.KnowledgeType` documented is 4.26.0, while the earliest included here is version 3.2.0, with version 4.14.0 being the currently displayed version."],["The `KnowledgeType` enum defines five fields, including `AgentFacingSmartReply`, `ArticleSuggestion`, `ExtractiveQa`, `Faq`, and `Unspecified`, each representing a different type of knowledge document."],["The documentation specifies the namespace (`Google.Cloud.Dialogflow.V2`) and assembly (`Google.Cloud.Dialogflow.V2.dll`) for this enum, useful for developers integrating it into their .NET projects."]]],[]]
