"intro_http_request":"Can send an HTTP request to perform more complex operations (network search, database query, etc.)",
"intro_http_request":"Can send an HTTP request to perform more complex operations (network search, database query, etc.)",
"intro_knowledge_base_search_merge":"Can merge multiple Dataset search results for output. Uses RRF merging method for final sorting output.",
"intro_knowledge_base_search_merge":"Can merge multiple Dataset search results for output. Uses RRF merging method for final sorting output.",
"intro_laf_function_call":"Can call cloud functions under the Laf account.",
"intro_laf_function_call":"Can call cloud functions under the Laf account.",
"intro_loop":"You can input an array, the elements in the array will execute the loop body independently, and output all results as an array.",
"intro_loop":"Input an array, iterate through the array and use each array element as an input element to execute the workflow.",
"intro_plugin_input":"Can configure what inputs the plugin needs and use these inputs to run the plugin.",
"intro_plugin_input":"Can configure what inputs the plugin needs and use these inputs to run the plugin.",
"intro_question_classification":"Determine the type of question based on the user's history and current question. Multiple question types can be added. Below is a template example:\nType 1: Greeting\nType 2: Questions about product 'usage'\nType 3: Questions about product 'purchase'\nType 4: Other questions",
"intro_question_classification":"Determine the type of question based on the user's history and current question. Multiple question types can be added. Below is a template example:\nType 1: Greeting\nType 2: Questions about product 'usage'\nType 3: Questions about product 'purchase'\nType 4: Other questions",
"intro_question_optimization":"Using question optimization can improve the accuracy of Dataset searches during continuous conversations. After using this function, AI will first construct one or more new search terms based on the context, which are more conducive to Dataset searches. This module is already built into the Dataset search module. If you only perform a single Dataset search, you can directly use the built-in completion function of the Dataset.",
"intro_question_optimization":"Using question optimization can improve the accuracy of Dataset searches during continuous conversations. After using this function, AI will first construct one or more new search terms based on the context, which are more conducive to Dataset searches. This module is already built into the Dataset search module. If you only perform a single Dataset search, you can directly use the built-in completion function of the Dataset.",
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@@ -108,10 +108,10 @@
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@@ -108,10 +108,10 @@
"less_than_or_equal_to":"Less Than or Equal To",
"less_than_or_equal_to":"Less Than or Equal To",
"loop":"Batch Run",
"loop":"Batch Run",
"loop_body":"loop body",
"loop_body":"loop body",
"loop_end":"end of loop",
"loop_end":"End",
"loop_input_array":"array",
"loop_input_array":"array",
"loop_result":"Array execution results",
"loop_result":"Array execution results",
"loop_start":"The loop body begins",
"loop_start":"Start",
"max_dialog_rounds":"Maximum Number of Dialog Rounds",
"max_dialog_rounds":"Maximum Number of Dialog Rounds",
"max_tokens":"Maximum Tokens",
"max_tokens":"Maximum Tokens",
"mouse_priority":"Mouse first\n- Press the left button to drag the canvas\n- Hold down shift and left click to select batches",
"mouse_priority":"Mouse first\n- Press the left button to drag the canvas\n- Hold down shift and left click to select batches",
"intro_question_optimization":"使用问题优化功能，可以提高知识库连续对话时搜索的精度。使用该功能后，会先利用 AI 根据上下文构建一个或多个新的检索词，这些检索词更利于进行知识库搜索。该模块已内置在知识库搜索模块中，如果您仅进行一次知识库搜索，可直接使用知识库内置的补全功能。",
"intro_question_optimization":"使用问题优化功能，可以提高知识库连续对话时搜索的精度。使用该功能后，会先利用 AI 根据上下文构建一个或多个新的检索词，这些检索词更利于进行知识库搜索。该模块已内置在知识库搜索模块中，如果您仅进行一次知识库搜索，可直接使用知识库内置的补全功能。",
"intro_question_optimization":"使用問題最佳化功能，可以提升知識庫連續對話時的搜尋精準度。使用這個功能後，會先利用 AI 根據脈絡建構一個或多個新的檢索詞彙，這些詞彙更有利於知識庫搜尋。這個模組已內建於知識庫搜尋模組中，如果您只進行一次知識庫搜尋，可以直接使用知識庫內建的自動完成功能。",
"intro_question_optimization":"使用問題最佳化功能，可以提升知識庫連續對話時的搜尋精準度。使用這個功能後，會先利用 AI 根據脈絡建構一個或多個新的檢索詞彙，這些詞彙更有利於知識庫搜尋。這個模組已內建於知識庫搜尋模組中，如果您只進行一次知識庫搜尋，可以直接使用知識庫內建的自動完成功能。",
