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 2025-03-21 UTC."],[[["This webpage provides documentation for the `KnowledgeType` enum within the `Google.Cloud.Dialogflow.V2` namespace, found in the `Google.Cloud.Dialogflow.V2.dll` assembly, spanning from version 3.2.0 to the latest version, 4.26.0."],["The `KnowledgeType` enum defines four specific fields: `ArticleSuggestion`, `ExtractiveQa`, `Faq`, and `Unspecified`, each representing a different type of document content or knowledge structure used in Dialogflow."],["`Faq` type documents, consisting of question and answer pairs in HTML or CSV format, are supported, and specific formatting requirements are detailed for optimal parsing."],["The `ExtractiveQa` field describes documents with unstructured text that is used for question answering."],["The `ArticleSuggestion` field details documents where the entire content can be used in query results for Contact Center Solutions on Dialogflow."]]],[]]