Semantic search over connector table summaries (agent table discovery).
| Name | Type | Description | Notes |
|---|---|---|---|
| query | str | Natural-language search query | |
| top_k | int | Number of tables (1-50) | [optional] [default to 10] |
| score_threshold | float | Minimum similarity score | [optional] [default to 0.3] |
| data_source_id | UUID | Optional: restrict the search to one connector | [optional] |
from ksapi.models.search_tables_request import SearchTablesRequest
# TODO update the JSON string below
json = "{}"
# create an instance of SearchTablesRequest from a JSON string
search_tables_request_instance = SearchTablesRequest.from_json(json)
# print the JSON string representation of the object
print(SearchTablesRequest.to_json())
# convert the object into a dict
search_tables_request_dict = search_tables_request_instance.to_dict()
# create an instance of SearchTablesRequest from a dict
search_tables_request_from_dict = SearchTablesRequest.from_dict(search_tables_request_dict)