Service to interpret natural language queries. The service allows to
create Question resources that are interpreted and are filled
with one or more interpretations if the question could be
interpreted. Once a Question resource is created and has at
least one interpretation, an interpretation can be chosen for
execution, which triggers a query to the backend (for BigQuery, it
will create a job). Upon successful execution of that
interpretation, backend specific information will be returned so
that the client can retrieve the results from the backend.
The Question resources are named
projects/*/locations/*/questions/*.
The Question resource has a singletion sub-resource
UserFeedback named
projects/*/locations/*/questions/*/userFeedback, which allows
access to user feedback.
Service to interpret natural language queries. The service allows to
create Question resources that are interpreted and are filled
with one or more interpretations if the question could be
interpreted. Once a Question resource is created and has at
least one interpretation, an interpretation can be chosen for
execution, which triggers a query to the backend (for BigQuery, it
will create a job). Upon successful execution of that
interpretation, backend specific information will be returned so
that the client can retrieve the results from the backend.
The Question resources are named
projects/*/locations/*/questions/*.
The Question resource has a singletion sub-resource
UserFeedback named
projects/*/locations/*/questions/*/userFeedback, which allows
access to user feedback.
[[["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 2025-08-07 UTC."],[],[],null,["# Package question_service (0.10.17)\n\nVersion latestkeyboard_arrow_down\n\n- [0.10.17 (latest)](/python/docs/reference/dataqna/latest/google.cloud.dataqna_v1alpha.services.question_service)\n- [0.10.16](/python/docs/reference/dataqna/0.10.16/google.cloud.dataqna_v1alpha.services.question_service)\n- [0.9.0](/python/docs/reference/dataqna/0.9.0/google.cloud.dataqna_v1alpha.services.question_service)\n- [0.8.2](/python/docs/reference/dataqna/0.8.2/google.cloud.dataqna_v1alpha.services.question_service)\n- [0.7.1](/python/docs/reference/dataqna/0.7.1/google.cloud.dataqna_v1alpha.services.question_service)\n- [0.6.3](/python/docs/reference/dataqna/0.6.3/google.cloud.dataqna_v1alpha.services.question_service)\n- [0.5.1](/python/docs/reference/dataqna/0.5.1/google.cloud.dataqna_v1alpha.services.question_service)\n- [0.4.0](/python/docs/reference/dataqna/0.4.0/google.cloud.dataqna_v1alpha.services.question_service)\n- [0.3.3](/python/docs/reference/dataqna/0.3.3/google.cloud.dataqna_v1alpha.services.question_service)\n- [0.2.1](/python/docs/reference/dataqna/0.2.1/google.cloud.dataqna_v1alpha.services.question_service)\n- [0.1.1](/python/docs/reference/dataqna/0.1.1/google.cloud.dataqna_v1alpha.services.question_service) \nAPI documentation for `dataqna_v1alpha.services.question_service` package. \n\nClasses\n-------\n\n### [QuestionServiceAsyncClient](/python/docs/reference/dataqna/latest/google.cloud.dataqna_v1alpha.services.question_service.QuestionServiceAsyncClient)\n\nService to interpret natural language queries. The service allows to\ncreate `Question` resources that are interpreted and are filled\nwith one or more interpretations if the question could be\ninterpreted. Once a `Question` resource is created and has at\nleast one interpretation, an interpretation can be chosen for\nexecution, which triggers a query to the backend (for BigQuery, it\nwill create a job). Upon successful execution of that\ninterpretation, backend specific information will be returned so\nthat the client can retrieve the results from the backend.\n\nThe `Question` resources are named\n`projects/*/locations/*/questions/*`.\n\nThe `Question` resource has a singletion sub-resource\n`UserFeedback` named\n`projects/*/locations/*/questions/*/userFeedback`, which allows\naccess to user feedback.\n\n### [QuestionServiceClient](/python/docs/reference/dataqna/latest/google.cloud.dataqna_v1alpha.services.question_service.QuestionServiceClient)\n\nService to interpret natural language queries. The service allows to\ncreate `Question` resources that are interpreted and are filled\nwith one or more interpretations if the question could be\ninterpreted. Once a `Question` resource is created and has at\nleast one interpretation, an interpretation can be chosen for\nexecution, which triggers a query to the backend (for BigQuery, it\nwill create a job). Upon successful execution of that\ninterpretation, backend specific information will be returned so\nthat the client can retrieve the results from the backend.\n\nThe `Question` resources are named\n`projects/*/locations/*/questions/*`.\n\nThe `Question` resource has a singletion sub-resource\n`UserFeedback` named\n`projects/*/locations/*/questions/*/userFeedback`, which allows\naccess to user feedback."]]