kendra¶
Client¶
- class kendra.Client¶
A low-level client representing AWSKendraFrontendService
Amazon Kendra is a service for indexing large document sets.
import boto3 client = boto3.client('kendra')
These are the available methods:
- associate_entities_to_experience
- associate_personas_to_entities
- batch_delete_document
- batch_delete_featured_results_set
- batch_get_document_status
- batch_put_document
- can_paginate
- clear_query_suggestions
- close
- create_access_control_configuration
- create_data_source
- create_experience
- create_faq
- create_featured_results_set
- create_index
- create_query_suggestions_block_list
- create_thesaurus
- delete_access_control_configuration
- delete_data_source
- delete_experience
- delete_faq
- delete_index
- delete_principal_mapping
- delete_query_suggestions_block_list
- delete_thesaurus
- describe_access_control_configuration
- describe_data_source
- describe_experience
- describe_faq
- describe_featured_results_set
- describe_index
- describe_principal_mapping
- describe_query_suggestions_block_list
- describe_query_suggestions_config
- describe_thesaurus
- disassociate_entities_from_experience
- disassociate_personas_from_entities
- get_paginator
- get_query_suggestions
- get_snapshots
- get_waiter
- list_access_control_configurations
- list_data_source_sync_jobs
- list_data_sources
- list_entity_personas
- list_experience_entities
- list_experiences
- list_faqs
- list_featured_results_sets
- list_groups_older_than_ordering_id
- list_indices
- list_query_suggestions_block_lists
- list_tags_for_resource
- list_thesauri
- put_principal_mapping
- query
- retrieve
- start_data_source_sync_job
- stop_data_source_sync_job
- submit_feedback
- tag_resource
- untag_resource
- update_access_control_configuration
- update_data_source
- update_experience
- update_featured_results_set
- update_index
- update_query_suggestions_block_list
- update_query_suggestions_config
- update_thesaurus
