{ "id": 16, "title": { "en": "WebSearch Assistant", "de": "Websuche Assistent", "zh": "网页搜索助手"}, "description": { "en": "A chat assistant template that integrates information extracted from a knowledge base and web searches to respond to queries. Let's start by setting up your knowledge base in 'Retrieval'!", "de": "Eine Chat-Assistenten-Vorlage, die Informationen aus einer Wissensdatenbank und Websuchen integriert, um auf Anfragen zu antworten. Beginnen wir mit der Einrichtung Ihrer Wissensdatenbank unter 'Retrieval'!", "zh": "集成了从知识库和网络搜索中提取的信息回答用户问题。让我们从设置您的知识库开始检索！"}, "canvas_type": "Other", "dsl": { "components": { "Agent:SmartSchoolsCross": { "downstream": [ "Message:ShaggyRingsCrash" ], "obj": { "component_name": "Agent", "params": { "delay_after_error": 1, "description": "", "exception_comment": "", "exception_default_value": "", "exception_goto": [], "exception_method": null, "frequencyPenaltyEnabled": false, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", "maxTokensEnabled": false, "max_retries": 3, "max_rounds": 1, "max_tokens": 256, "mcp": [], "message_history_window_size": 12, "outputs": { "content": { "type": "string", "value": "" } }, "presencePenaltyEnabled": false, "presence_penalty": 0.4, "prompts": [ { "content": "User's query:\n{sys.query}\n\nRefined question:\n{Agent:ThreePathsDecide@content}\n\nWeb search result:\n{Agent:WildGoatsRule@content}\n\nRetrieval result:\n{Agent:WildGoatsRule@content}", "role": "user" } ], "sys_prompt": "Role: You are an Answer Organizer.\nTask: Generate the answer based on the provided content from: User's query, Refined question, Web search result, Retrieval result.\n\nRequirements:\n - Answer should be in markdown format.\n - Answer should include all \n - Do not make thing up when there's no relevant information to user's question. \n", "temperature": 0.1, "temperatureEnabled": true, "tools": [], "topPEnabled": false, "top_p": 0.3, "user_prompt": "", "visual_files_var": "" } }, "upstream": [ "Agent:WildGoatsRule", "Retrieval:WarmTimesRun" ] }, "Agent:ThreePathsDecide": { "downstream": [ "Agent:WildGoatsRule", "Retrieval:WarmTimesRun" ], "obj": { "component_name": "Agent", "params": { "delay_after_error": 1, "description": "", "exception_comment": "", "exception_default_value": "", "exception_goto": [], "exception_method": null, "frequencyPenaltyEnabled": false, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", "maxTokensEnabled": false, "max_retries": 3, "max_rounds": 1, "max_tokens": 256, "mcp": [], "message_history_window_size": 12, "outputs": { "content": { "type": "string", "value": "" } }, "presencePenaltyEnabled": false, "presence_penalty": 0.4, "prompts": [ { "content": "{sys.query}", "role": "user" } ], "sys_prompt": "Role: You are a Question Refinement Agent. Rewrite ambiguous or incomplete user questions to align with knowledge base terminology using conversation history.\n\nExample：\n\nUser: What's RAGFlow?\nAssistant: RAGFlow is xxx.\n\nUser: How to deloy it?\nRefine it: How to deploy RAGFlow?", "temperature": 0.1, "temperatureEnabled": true, "tools": [], "topPEnabled": false, "top_p": 0.3, "user_prompt": "", "visual_files_var": "" } }, "upstream": [ "begin" ] }, "Agent:WildGoatsRule": { "downstream": [ "Agent:SmartSchoolsCross" ], "obj": { "component_name": "Agent", "params": { "delay_after_error": 1, "description": "", "exception_comment": "", "exception_default_value": "", "exception_goto": [], "exception_method": null, "frequencyPenaltyEnabled": false, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", "maxTokensEnabled": false, "max_retries": 3, "max_rounds": 2, "max_tokens": 256, "mcp": [], "message_history_window_size": 12, "outputs": { "content": { "type": "string", "value": "" } }, "presencePenaltyEnabled": false, "presence_penalty": 0.4, "prompts": [ { "content": "User's query:\n{sys.query}\n\nRefined question:\n{Agent:ThreePathsDecide@content}", "role": "user" } ], "sys_prompt": "Role: You are a Search-Driven Information Agent that answers questions using web search results.\n\nWorkflow:\nKeyword Extraction:\nExtract exactly 3 keywords from the user's question.\n\nKeywords must be:\n✅ Most specific nouns/proper nouns (e.g., \"iPhone 15 Pro\" not \"phone\")\n✅ Core concepts (e.g., \"quantum entanglement\" not \"science thing\")\n✅ Unbiased (no added opinions)\nNever output keywords to users\n\nSearch & Answer:\nUse search tools (TavilySearch, TavilyExtract, Google, Bing, DuckDuckGo, Wikipedia) with the 3 keywords to retrieve results.\nAnswer solely based on search findings, citing sources.\nIf results conflict, prioritize recent (.gov/.edu > forums)\n\nOutput Rules:\n✖️ Never show keywords in final answers\n✖️ Never guess if search yields no results\n✅ Always cite sources using [Source #] notation", "temperature": 0.1, "temperatureEnabled": true, "tools": [ { "component_name": "TavilySearch", "name": "TavilySearch", "params": { "api_key": "", "days": 7, "exclude_domains": [], "include_answer": false, "include_domains": [], "include_image_descriptions": false, "include_images": false, "include_raw_content": true, "max_results": 5, "outputs": { "formalized_content": { "type": "string", "value": "" }, "json": { "type": "Array", "value": [] } }, "query": "sys.query", "search_depth": "basic", "topic": "general" } }, { "component_name": "TavilyExtract", "name": "TavilyExtract", "params": { "api_key": "" } }, { "component_name": "Google", "name": "Google", "params": { "api_key": "", "country": "us", "language": "en" } }, { "component_name": "Bing", "name": "Bing", "params": { "api_key": "YOUR_API_KEY (obtained from https://www.microsoft.com/en-us/bing/apis/bing-web-search-api)", "channel": "Webpages", "country": "CH", "language": "en", "top_n": 10 } }, { "component_name": "DuckDuckGo", "name": "DuckDuckGo", "params": { "channel": "text", "top_n": 10 } }, { "component_name": "Wikipedia", "name": "Wikipedia", "params": { "language": "en", "top_n": 10 } } ], "topPEnabled": false, "top_p": 0.3, "user_prompt": "", "visual_files_var": "" } }, "upstream": [ "Agent:ThreePathsDecide" ] }, "Message:ShaggyRingsCrash": { "downstream": [], "obj": { "component_name": "Message", "params": { "content": [ "{Agent:SmartSchoolsCross@content}" ] } }, "upstream": [ "Agent:SmartSchoolsCross" ] }, "Retrieval:WarmTimesRun": { "downstream": [ "Agent:SmartSchoolsCross" ], "obj": { "component_name": "Retrieval", "params": { "cross_languages": [], "empty_response": "", "kb_ids": [], "keywords_similarity_weight": 0.7, "outputs": { "formalized_content": { "type": "string", "value": "" } }, "query": "Agent:ThreePathsDecide@content", "rerank_id": "", "similarity_threshold": 0.2, "top_k": 1024, "top_n": 8, "use_kg": false } }, "upstream": [ "Agent:ThreePathsDecide" ] }, "begin": { "downstream": [ "Agent:ThreePathsDecide" ], "obj": { "component_name": "Begin", "params": { "enablePrologue": true, "inputs": {}, "mode": "conversational", "prologue": "Hi! I'm your web search assistant. What do you want to search today?" } }, "upstream": [] } }, "globals": { "sys.conversation_turns": 1, "sys.files": [], "sys.query": "你好", "sys.user_id": "d6d98fd652f911f0a8fb047c16ec874f" }, "graph": { "edges": [ { "data": { "isHovered": false }, "id": "xy-edge__beginstart-Agent:ThreePathsDecideend", "source": "begin", "sourceHandle": "start", "target": "Agent:ThreePathsDecide", "targetHandle": "end" }, { "data": { "isHovered": false }, "id": "xy-edge__Agent:ThreePathsDecidestart-Agent:WildGoatsRuleend", "source": "Agent:ThreePathsDecide", "sourceHandle": "start", "target": "Agent:WildGoatsRule", "targetHandle": "end" }, { "data": { "isHovered": false }, "id": "xy-edge__Agent:ThreePathsDecidestart-Retrieval:WarmTimesRunend", "source": "Agent:ThreePathsDecide", "sourceHandle": "start", "target": "Retrieval:WarmTimesRun", "targetHandle": "end" }, { "data": { "isHovered": false }, "id": "xy-edge__Agent:WildGoatsRulestart-Agent:SmartSchoolsCrossend", "source": "Agent:WildGoatsRule", "sourceHandle": "start", "target": "Agent:SmartSchoolsCross", "targetHandle": "end" }, { "data": { "isHovered": false }, "id": "xy-edge__Agent:SmartSchoolsCrossstart-Message:ShaggyRingsCrashend", "source": "Agent:SmartSchoolsCross", "sourceHandle": "start", "target": "Message:ShaggyRingsCrash", "targetHandle": "end" }, { "data": { "isHovered": false }, "id": "xy-edge__Retrieval:WarmTimesRunstart-Agent:SmartSchoolsCrossend", "markerEnd": "logo", "source": "Retrieval:WarmTimesRun", "sourceHandle": "start", "style": { "stroke": "rgba(91, 93, 106, 1)", "strokeWidth": 1 }, "target": "Agent:SmartSchoolsCross", "targetHandle": "end", "type": "buttonEdge", "zIndex": 1001 }, { "data": { "isHovered": false }, "id": "xy-edge__Agent:WildGoatsRuletool-Tool:TrueCrewsTakeend", "source": "Agent:WildGoatsRule", "sourceHandle": "tool", "target": "Tool:TrueCrewsTake", "targetHandle": "end" } ], "nodes": [ { "data": { "form": { "enablePrologue": true, "inputs": {}, "mode": "conversational", "prologue": "Hi! I'm your web search assistant. What do you want to search today?" }, "label": "Begin", "name": "begin" }, "dragging": false, "id": "begin", "measured": { "height": 48, "width": 200 }, "position": { "x": 32.79251060693639, "y": 209.67921278359827 }, "selected": false, "sourcePosition": "left", "targetPosition": "right", "type": "beginNode" }, { "data": { "form": { "delay_after_error": 1, "description": "", "exception_comment": "", "exception_default_value": "", "exception_goto": [], "exception_method": null, "frequencyPenaltyEnabled": false, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", "maxTokensEnabled": false, "max_retries": 3, "max_rounds": 1, "max_tokens": 256, "mcp": [], "message_history_window_size": 12, "outputs": { "content": { "type": "string", "value": "" } }, "presencePenaltyEnabled": false, "presence_penalty": 0.4, "prompts": [ { "content": "{sys.query}", "role": "user" } ], "sys_prompt": "Role: You are a Question Refinement Agent. Rewrite ambiguous or incomplete user questions to align with knowledge base terminology using conversation history.\n\nExample：\n\nUser: What's RAGFlow?\nAssistant: RAGFlow is xxx.\n\nUser: How to deloy it?\nRefine it: How to deploy RAGFlow?", "temperature": 0.1, "temperatureEnabled": true, "tools": [], "topPEnabled": false, "top_p": 0.3, "user_prompt": "", "visual_files_var": "" }, "label": "Agent", "name": "Refine Question" }, "dragging": false, "id": "Agent:ThreePathsDecide", "measured": { "height": 84, "width": 200 }, "position": { "x": 309.1322126914739, "y": 188.16985104226876 }, "selected": false, "sourcePosition": "right", "targetPosition": "left", "type": "agentNode" }, { "data": { "form": { "delay_after_error": 1, "description": "", "exception_comment": "", "exception_default_value": "", "exception_goto": [], "exception_method": null, "frequencyPenaltyEnabled": false, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", "maxTokensEnabled": false, "max_retries": 3, "max_rounds": 2, "max_tokens": 256, "mcp": [], "message_history_window_size": 12, "outputs": { "content": { "type": "string", "value": "" } }, "presencePenaltyEnabled": false, "presence_penalty": 0.4, "prompts": [ { "content": "User's query:\n{sys.query}\n\nRefined question:\n{Agent:ThreePathsDecide@content}", "role": "user" } ], "sys_prompt": "Role: You are a Search-Driven Information Agent that answers questions using web search results.\n\nWorkflow:\nKeyword Extraction:\nExtract exactly 3 keywords from the user's question.\n\nKeywords must be:\n✅ Most specific nouns/proper nouns (e.g., \"iPhone 15 Pro\" not \"phone\")\n✅ Core concepts (e.g., \"quantum entanglement\" not \"science thing\")\n✅ Unbiased (no added opinions)\nNever output keywords to users\n\nSearch & Answer:\nUse search tools (TavilySearch, TavilyExtract, Google, Bing, DuckDuckGo, Wikipedia) with the 3 keywords to retrieve results.\nAnswer solely based on search findings, citing sources.\nIf results conflict, prioritize recent (.gov/.edu > forums)\n\nOutput Rules:\n✖️ Never show keywords in final answers\n✖️ Never guess if search yields no results\n✅ Always cite sources using [Source #] notation", "temperature": 0.1, "temperatureEnabled": true, "tools": [ { "component_name": "TavilySearch", "name": "TavilySearch", "params": { "api_key": "", "days": 7, "exclude_domains": [], "include_answer": false, "include_domains": [], "include_image_descriptions": false, "include_images": false, "include_raw_content": true, "max_results": 5, "outputs": { "formalized_content": { "type": "string", "value": "" }, "json": { "type": "Array", "value": [] } }, "query": "sys.query", "search_depth": "basic", "topic": "general" } }, { "component_name": "TavilyExtract", "name": "TavilyExtract", "params": { "api_key": "" } }, { "component_name": "Google", "name": "Google", "params": { "api_key": "", "country": "us", "language": "en" } }, { "component_name": "Bing", "name": "Bing", "params": { "api_key": "YOUR_API_KEY (obtained from https://www.microsoft.com/en-us/bing/apis/bing-web-search-api)", "channel": "Webpages", "country": "CH", "language": "en", "top_n": 10 } }, { "component_name": "DuckDuckGo", "name": "DuckDuckGo", "params": { "channel": "text", "top_n": 10 } }, { "component_name": "Wikipedia", "name": "Wikipedia", "params": { "language": "en", "top_n": 10 } } ], "topPEnabled": false, "top_p": 0.3, "user_prompt": "", "visual_files_var": "" }, "label": "Agent", "name": "Search Agent" }, "dragging": false, "id": "Agent:WildGoatsRule", "measured": { "height": 84, "width": 200 }, "position": { "x": 678.5892767651895, "y": 2.074237779456759 }, "selected": false, "sourcePosition": "right", "targetPosition": "left", "type": "agentNode" }, { "data": { "form": { "cross_languages": [], "empty_response": "", "kb_ids": [], "keywords_similarity_weight": 0.7, "outputs": { "formalized_content": { "type": "string", "value": "" } }, "query": "Agent:ThreePathsDecide@content", "rerank_id": "", "similarity_threshold": 0.2, "top_k": 1024, "top_n": 8, "use_kg": false }, "label": "Retrieval", "name": "Retrieval from knowledge bases " }, "dragging": false, "id": "Retrieval:WarmTimesRun", "measured": { "height": 56, "width": 200 }, "position": { "x": 689.0595178434597, "y": 499.2340890704343 }, "selected": false, "sourcePosition": "right", "targetPosition": "left", "type": "retrievalNode" }, { "data": { "form": { "delay_after_error": 1, "description": "", "exception_comment": "", "exception_default_value": "", "exception_goto": [], "exception_method": null, "frequencyPenaltyEnabled": false, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", "maxTokensEnabled": false, "max_retries": 3, "max_rounds": 1, "max_tokens": 256, "mcp": [], "message_history_window_size": 12, "outputs": { "content": { "type": "string", "value": "" } }, "presencePenaltyEnabled": false, "presence_penalty": 0.4, "prompts": [ { "content": "User's query:\n{sys.query}\n\nRefined question:\n{Agent:ThreePathsDecide@content}\n\nWeb search result:\n{Agent:WildGoatsRule@content}\n\nRetrieval result:\n{Agent:WildGoatsRule@content}", "role": "user" } ], "sys_prompt": "Role: You are an Answer Organizer.\nTask: Generate the answer based on the provided content from: User's query, Refined question, Web search result, Retrieval result.\n\nRequirements:\n - Answer should be in markdown format.\n - Answer should include all \n - Do not make thing up when there's no relevant information to user's question. \n", "temperature": 0.1, "temperatureEnabled": true, "tools": [], "topPEnabled": false, "top_p": 0.3, "user_prompt": "", "visual_files_var": "" }, "label": "Agent", "name": "Answer Organizer" }, "dragging": false, "id": "Agent:SmartSchoolsCross", "measured": { "height": 84, "width": 200 }, "position": { "x": 1134.5321493898284, "y": 221.46972754101765 }, "selected": false, "sourcePosition": "right", "targetPosition": "left", "type": "agentNode" }, { "data": { "form": { "content": [ "{Agent:SmartSchoolsCross@content}" ] }, "label": "Message", "name": "Answer" }, "dragging": false, "id": "Message:ShaggyRingsCrash", "measured": { "height": 56, "width": 200 }, "position": { "x": 1437.758553651028, "y": 235.45081267288185 }, "selected": false, "sourcePosition": "right", "targetPosition": "left", "type": "messageNode" }, { "data": { "form": { "text": "This Agent rewrites your question for better search & retrieval results." }, "label": "Note", "name": "Note: Refine Question" }, "dragHandle": ".note-drag-handle", "id": "Note:BetterCupsBow", "measured": { "height": 136, "width": 244 }, "position": { "x": 270, "y": 390 }, "selected": false, "sourcePosition": "right", "targetPosition": "left", "type": "noteNode" }, { "data": { "form": { "text": "This Agent answers questions using web search results." }, "label": "Note", "name": "Note: Search Agent" }, "dragHandle": ".note-drag-handle", "dragging": false, "id": "Note:OddGoatsBeg", "measured": { "height": 136, "width": 244 }, "position": { "x": 689.3401860180043, "y": -204.46057070562227 }, "selected": false, "sourcePosition": "right", "targetPosition": "left", "type": "noteNode" }, { "data": { "form": { "text": "This Agents generates the answer based on the provided content from: User's query, Refined question, Web search result, Retrieval result." }, "label": "Note", "name": "Note: Answer Organizer" }, "dragHandle": ".note-drag-handle", "dragging": false, "height": 188, "id": "Note:SlowBottlesHope", "measured": { "height": 188, "width": 251 }, "position": { "x": 1152.1929528629184, "y": 375.08305219772546 }, "resizing": false, "selected": false, "sourcePosition": "right", "targetPosition": "left", "type": "noteNode", "width": 251 }, { "data": { "form": { "description": "This is an agent for a specific task.", "user_prompt": "This is the order you need to send to the agent." }, "label": "Tool", "name": "flow.tool_0" }, "dragging": false, "id": "Tool:TrueCrewsTake", "measured": { "height": 228, "width": 200 }, "position": { "x": 642.9703031510875, "y": 144.80253344921545 }, "selected": false, "sourcePosition": "right", "targetPosition": "left", "type": "toolNode" }, { "data": { "form": { "text": "This is a chat assistant template that integrates information extracted from a knowledge base and web searches to respond to queries. Let's start by setting up your knowledge base in 'Retrieval'!" }, "label": "Note", "name": "Workflow Overall Description" }, "dragHandle": ".note-drag-handle", "dragging": false, "height": 163, "id": "Note:BumpySteaksPump", "measured": { "height": 163, "width": 389 }, "position": { "x": -36.59148337976953, "y": 1.488564577528809 }, "resizing": false, "selected": false, "sourcePosition": "right", "targetPosition": "left", "type": "noteNode", "width": 389 } ] }, "history": [ [ "user", "你好" ] ], "memory": [], "messages": [], "path": [ "begin", "Agent:ThreePathsDecide" ], "retrieval": [ { "chunks": [], "doc_aggs": [] }, { "chunks": {}, "doc_aggs": {} } ], "task_id": "183442fc6dd811f091b1047c16ec874f" }, "avatar": 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" 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