997 lines
65 KiB
JSON
997 lines
65 KiB
JSON
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{
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"id": 0,
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"title": "WebSearch Assistant",
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"description": "A chat assistant template that integrates information extracted from a knowledge base and web searches to respond to queries. Let's begin by setting up your knowledge base in 'Retrieval'!",
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"canvas_type": "chatbot",
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"dsl": {
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"answer": [],
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"components": {
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"Answer:PoorMapsCover": {
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"output": null,
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"output_var_name": "output",
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"post_answers": [],
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"query": []
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}
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},
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"upstream": [
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"begin",
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"Generate:ItchyRiversDrum"
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]
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},
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"Baidu:OliveAreasCall": {
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"downstream": [
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"Generate:ItchyRiversDrum"
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"obj": {
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"component_name": "Baidu",
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"inputs": [],
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"output": null,
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"params": {
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"inputs": [],
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"output": null,
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"output_var_name": "output",
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"query": [
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{
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"component_id": "KeywordExtract:BeigeTipsStand",
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"type": "reference"
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}
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],
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"upstream": [
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]
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},
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"DuckDuckGo:SoftButtonsRefuse": {
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"downstream": [
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"Generate:ItchyRiversDrum"
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],
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"obj": {
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"component_name": "DuckDuckGo",
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"inputs": [],
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"output": null,
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"params": {
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"output": null,
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"output_var_name": "output",
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"query": [
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{
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"component_id": "KeywordExtract:BeigeTipsStand",
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"type": "reference"
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},
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},
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"Generate:ItchyRiversDrum": {
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"downstream": [
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"Answer:PoorMapsCover"
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],
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"obj": {
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"component_name": "Generate",
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"inputs": [],
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"output": null,
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"params": {
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"cite": true,
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"debug_inputs": [],
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"frequency_penalty": 0.7,
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"inputs": [],
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"llm_id": "deepseek-chat@DeepSeek",
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"max_tokens": 0,
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"message_history_window_size": 12,
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"output": null,
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"output_var_name": "output",
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"parameters": [],
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"presence_penalty": 0.4,
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"prompt": "Role: You are an intelligent assistant. \nTask: Chat with user. Answer the question based on the provided content from: Knowledge Base, Wikipedia, Duckduckgo, Baidu.\nRequirements:\n - Answer should be in markdown format.\n - Answer should include all sources(Knowledge Base, Wikipedia, Duckduckgo, Baidu) as long as they are relevant, and label the sources of the cited content separately.\n - Attach URL links to the content which is quoted from Wikipedia, DuckDuckGo or Baidu.\n - Do not make thing up when there's no relevant information to user's question. \n\n## Knowledge base content\n{Retrieval:SilentCamelsStick}\n\n\n## Wikipedia content\n{Wikipedia:WittyRiceLearn}\n\n\n## Duckduckgo content\n{DuckDuckGo:SoftButtonsRefuse}\n\n\n## Baidu content\n{Baidu:OliveAreasCall}\n\n",
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"query": [],
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"temperature": 0.1,
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"top_p": 0.3
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}
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},
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"upstream": [
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"Retrieval:SilentCamelsStick",
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"Wikipedia:WittyRiceLearn",
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"Baidu:OliveAreasCall",
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"DuckDuckGo:SoftButtonsRefuse"
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]
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},
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"KeywordExtract:BeigeTipsStand": {
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"downstream": [
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"Baidu:OliveAreasCall",
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"DuckDuckGo:SoftButtonsRefuse",
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"Wikipedia:WittyRiceLearn"
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],
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"obj": {
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"component_name": "KeywordExtract",
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"inputs": [],
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"output": null,
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"params": {
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"cite": true,
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"debug_inputs": [],
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"frequencyPenaltyEnabled": true,
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"frequency_penalty": 0.7,
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"inputs": [],
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"llm_id": "deepseek-chat@DeepSeek",
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"maxTokensEnabled": true,
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"max_tokens": 256,
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"message_history_window_size": 22,
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"output": null,
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"output_var_name": "output",
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"parameter": "Precise",
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"parameters": [],
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"presencePenaltyEnabled": true,
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"presence_penalty": 0.4,
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"prompt": "",
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"query": [],
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"temperature": 0.1,
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"temperatureEnabled": true,
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"topPEnabled": true,
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"top_n": 2,
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"top_p": 0.3
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}
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},
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"upstream": [
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"RewriteQuestion:OrangeBottlesSwim"
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]
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},
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"Retrieval:SilentCamelsStick": {
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"downstream": [
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"Generate:ItchyRiversDrum"
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],
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"obj": {
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"component_name": "Retrieval",
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"inputs": [],
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"output": null,
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"params": {
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"debug_inputs": [],
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"empty_response": "The answer you want was not found in the knowledge base!",
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"inputs": [],
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"kb_ids": [],
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"keywords_similarity_weight": 0.3,
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"output": null,
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"output_var_name": "output",
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"query": [],
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"rerank_id": "",
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"similarity_threshold": 0.2,
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"top_k": 1024,
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"top_n": 8
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"RewriteQuestion:OrangeBottlesSwim"
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"KeywordExtract:BeigeTipsStand",
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"Retrieval:SilentCamelsStick"
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"text": "Based on the keywords, searches on Baidu and returns the found content."
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"text": "Based on the keywords, searches on DuckDuckGo and returns the found content."
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{
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"data": {
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"form": {
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"text": "The large model generates keywords based on the user's question for better retrieval."
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},
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"label": "Note",
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"name": "N: Get keywords"
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"prompt": "Role: You are an intelligent assistant. \nTask: Chat with user. Answer the question based on the provided content from: Knowledge Base, Wikipedia, Duckduckgo, Baidu.\nRequirements:\n - Answer should be in markdown format.\n - Answer should include all sources(Knowledge Base, Wikipedia, Duckduckgo, Baidu) as long as they are relevant, and label the sources of the cited content separately.\n - Attach URL links to the content which is quoted from Wikipedia, DuckDuckGo or Baidu.\n - Do not make thing up when there's no relevant information to user's question. \n\n## Knowledge base content\n{Retrieval:SilentCamelsStick}\n\n\n## Wikipedia content\n{Wikipedia:WittyRiceLearn}\n\n\n## Duckduckgo content\n{DuckDuckGo:SoftButtonsRefuse}\n\n\n## Baidu content\n{Baidu:OliveAreasCall}\n\n",
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}
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