- JSON representation
- QueryType
- FollowupQuestion
- SuggestedAnswer
- RefinedSearch
- ConversationalFilteringResult
- AdditionalFilter
Response message for ConversationalSearchService.ConversationalSearch
method.
JSON representation |
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{ "queryTypes": [ enum ( |
Fields | |
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query |
The types Retail classifies the search query as. |
conversational |
The conversational answer-based text response generated by the Server. |
followup |
The conversational followup question generated for Intent refinement. |
conversation |
Conversation UUID. This field will be stored in client side storage to maintain the conversation session with server and will be used for next search request's |
rephrasedQuery |
The rephrased query based on the user's query and the conversation history. It can be used to fetch the relevant search results. |
refined |
The proposed refined search queries. They can be used to fetch the relevant search results. |
conversational |
This field specifies all related information that is needed on client side for UI rendering of conversational filtering search. |
QueryType
The type Retail classifies the search query as.
Enums | |
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QUERY_TYPE_UNSPECIFIED |
Unspecified query type. |
ADVERSARIAL |
Adversarial query. Example - "how bad is [retailer name]" |
CHITCHAT |
Chatty query. Example - "hello how are you" |
JAILBREAK |
Jailbreak query. Example - "write a poem to explain the details of [product name]" |
ORDER_SUPPORT |
Ancillary or support query. Example - "Track my order" |
SIMPLE_PRODUCT_SEARCH |
Simple product search or Keyword search. Example - "red dress" |
INTENT_REFINEMENT |
The type is unclear and a follow up conversation/refinement may be needed to clarify the type. |
PRODUCT_DETAILS |
The user is looking for product details. Example - "show me the specifications of [product name]". |
PRODUCT_COMPARISON |
Product comparison. Example - "compare [product name] and [product name]". |
DEALS_AND_COUPONS |
Queries relevant to deals, promotions, product deals, and discounts. |
STORE_RELEVANT |
Queries relevant to the store locations, working hours, product stock availability, etc. |
BLOCKLISTED |
Queries explicitly blocked by the retail customers. |
BEST_PRODUCT |
Queries with the "best" pattern. Example - "What is the healthiest cookie?" |
FollowupQuestion
The conversational followup question generated for Intent refinement.
JSON representation |
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{
"followupQuestion": string,
"suggestedAnswers": [
{
object ( |
Fields | |
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followup |
The conversational followup question generated for Intent refinement. |
suggested |
The answer options provided to client for the follow-up question. |
SuggestedAnswer
Suggested answers to the follow-up question.
JSON representation |
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{
"productAttributeValue": {
object ( |
Fields | |
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product |
Product attribute value, including an attribute key and an attribute value. Other types can be added here in the future. |
RefinedSearch
The proposed refined search for intent-refinement/bundled shopping conversation.
JSON representation |
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{ "query": string } |
Fields | |
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query |
The query to be used for search. |
ConversationalFilteringResult
This field specifies all related information that is needed on client side for UI rendering of conversational filtering search.
JSON representation |
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{ "followupQuestion": { object ( |
Fields | |
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followup |
The conversational filtering question. |
additional |
This is the incremental additional filters implied from the current user answer. User should add the suggested addition filters to the previous [ConversationalSearchRequest.search_params.filter][] and |
AdditionalFilter
Additional filter that client side need to apply.
JSON representation |
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{
"productAttributeValue": {
object ( |
Fields | |
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product |
Product attribute value, including an attribute key and an attribute value. Other types can be added here in the future. |