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 page provides reference documentation for the `Google.Cloud.Dialogflow.V2.Document.Types.KnowledgeType` enum within the Google Cloud Dialogflow v2 API, with version 4.26.0 being the latest."],["The `KnowledgeType` enum defines the type of content a document holds, such as `AgentFacingSmartReply`, `ArticleSuggestion`, `ExtractiveQa`, `Faq`, and `Unspecified`."],["The page lists the different versions of the API, from version 4.26.0 down to 3.2.0, each with a corresponding link to its documentation."],["Each version of the API contains the different `KnowledgeType` options with a description of what they represent."],["The documentation outlines the structure for `Faq` type documents, specifying the need for question and answer pairs in HTML or CSV formats."]]],[]]
