Initial commit: Add Dify apps and configuration files
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259
app4_ Multi-agent-customer_chatbot.yml
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259
app4_ Multi-agent-customer_chatbot.yml
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app:
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description: 'documentation, pdf and source can be found under the following link:
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https://drive.google.com/drive/folders/13IXNtJGFKZnBelD2caNwWF8qo8LAVnos?usp=sharing'
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icon: 🤖
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icon_background: '#FFEAD5'
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mode: advanced-chat
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name: App 4 - Multi-agent customer chatbot
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use_icon_as_answer_icon: false
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dependencies:
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- current_identifier: null
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type: marketplace
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value:
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marketplace_plugin_unique_identifier: langgenius/gemini:0.5.12@2a2bf8f78552bd52b1d2e51995daaa7b7c04b2572b29e661b14c1b773ab8d45a
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version: null
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kind: app
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version: 0.5.0
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workflow:
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conversation_variables: []
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environment_variables: []
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features:
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file_upload:
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allowed_file_extensions:
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- .JPG
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- .JPEG
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- .PNG
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- .GIF
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- .WEBP
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- .SVG
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allowed_file_types:
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- image
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allowed_file_upload_methods:
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- local_file
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- remote_url
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enabled: false
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fileUploadConfig:
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audio_file_size_limit: 50
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batch_count_limit: 5
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file_size_limit: 15
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image_file_size_limit: 10
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video_file_size_limit: 100
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workflow_file_upload_limit: 10
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image:
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enabled: false
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number_limits: 3
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transfer_methods:
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- local_file
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- remote_url
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number_limits: 3
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opening_statement: ''
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retriever_resource:
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enabled: true
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sensitive_word_avoidance:
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enabled: false
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speech_to_text:
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enabled: false
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suggested_questions: []
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suggested_questions_after_answer:
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enabled: false
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text_to_speech:
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enabled: false
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language: ''
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voice: ''
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graph:
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edges:
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- data:
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sourceType: llm
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targetType: answer
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id: llm-answer
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source: llm
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sourceHandle: source
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target: answer
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targetHandle: target
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type: custom
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- data:
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isInLoop: false
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sourceType: start
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targetType: knowledge-retrieval
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id: 1763644874951-source-1763644901024-target
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source: '1763644874951'
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sourceHandle: source
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target: '1763644901024'
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targetHandle: target
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type: custom
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zIndex: 0
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- data:
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isInLoop: false
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sourceType: knowledge-retrieval
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targetType: llm
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id: 1763644901024-source-llm-target
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source: '1763644901024'
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sourceHandle: source
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target: llm
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targetHandle: target
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type: custom
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zIndex: 0
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nodes:
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- data:
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selected: false
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title: User Input
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type: start
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variables: []
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height: 73
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id: '1763644874951'
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position:
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x: 38
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y: 241
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positionAbsolute:
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x: 38
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y: 241
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selected: false
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sourcePosition: right
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targetPosition: left
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type: custom
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width: 242
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- data:
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context:
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enabled: true
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variable_selector:
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- sys
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- query
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memory:
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query_prompt_template: '{{#sys.query#}}
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{{#sys.files#}}'
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role_prefix:
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assistant: ''
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user: ''
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window:
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enabled: false
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size: 10
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model:
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completion_params:
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temperature: 0.7
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mode: chat
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name: gemini-2.5-flash-lite
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provider: langgenius/gemini/google
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prompt_template:
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- id: 68dd7e7c-862f-47d7-90a0-8dbe0caddd77
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role: system
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text: "\nYou are a dedicated Sales Manager and Customer Support Representative\
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\ specializing in office writing tools. Your primary goal is to assist\
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\ customers in finding the perfect product by deeply understanding their\
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\ needs and providing comprehensive details, features, and up-to-the-minute\
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\ availability from our inventory.\nWhen a user asks a question, use the\
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\ provided context about our office writing tools catalog to formulate\
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\ your response.\n**Instructions:**\n1. **Identify User Intent:** Understand\
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\ what the user is looking for (e.g., specific product, category, recommendation,\n\
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comparison, price range, attributes).\n2. **Utilize Context:** Refer to\
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\ the office_writing_tools_catalog.csv data provided in the '{{knowledge.\n\
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office_writing_too...}}* variable. Extract relevant product names, categories,\
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\ descriptions, prices, sizes, colors, and materials.\n\uFEFF\uFEFF\uFEFF\
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**Provide Comprehensive Details:** For identified products, list key features,\
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\ attributes, and pricing.\n\uFEFF\uFEFF\uFEFF**Maintain Conversational\
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\ Context:** Respond in a friendly, helpful, and professional tone. Remember\
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\ previous turns\nin the conversation.\n5. **Address Availability (Simulated):**\
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\ Since we don't have real-time inventory, you can phrase availability\
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\ generally,\ne. g.,\n\"These items are typically in stock,\" or \"We\
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\ usually have a good selection of these available.\"\n\uFEFF\uFEFF\uFEFF\
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**Handle No Matches:** If the provided context does not contain information\
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\ relevant to the user's query, politely state that you couldn't find\
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\ a matching product in the catalog and offer to help with something else\
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\ or suggest broader categories.\n\uFEFF\uFEFF\uFEFF**Encourage Further\
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\ Questions:** Always invite follow-up questions to continue assisting\
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\ the user.\n**Example Interaction Flow:**\nUser: \"Do you have blue ballpoint\
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\ pens?\"\nAI: \"Yes, we certainly do! We have the 'Blue Ballpoint Pen'\
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\ which is a classic retractable pen with smooth blue ink, priced at $1.50.\
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\ It's a medium size and made of plastic. These are typically in stock.\
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\ Is there anything else you'd like to know about it, or perhaps another\
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\ type of pen?\"\nUser: \"I need something for organizing my desk.\"\n\
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AI: \"Certainly! For organizing your desk, we have a few great options.\
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\ For example, the 'Desk Organizer' is a multi-compartment item for pens,\
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\ pencils, and small items, priced at $19.99,\nmade of mesh metal. We\
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\ also have the\n'Document\nTray (Mesh)' for letter/A4 papers at $17.50,\
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\ and a 'Pen Holder' for $7.00. Which of these sounds most interesting,\
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\ would you like to explore other desk accessories?\"\nNow, based on the\
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\ user's {{#sys.query#}} provide the best possible answer using the provided\
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\ {{#context#}}.\n\n\n"
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- id: 3295d5cd-df1f-4c19-b9ef-983ddfb6642d
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role: user
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text: ''
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selected: false
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title: LLM
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type: llm
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vision:
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enabled: false
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height: 88
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id: llm
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position:
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x: 603
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y: 241
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positionAbsolute:
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x: 603
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y: 241
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selected: true
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sourcePosition: right
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targetPosition: left
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type: custom
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width: 242
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- data:
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answer: '{{#llm.text#}}'
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selected: false
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title: Answer
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type: answer
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variables: []
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height: 103
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id: answer
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position:
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x: 875.6911171693694
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y: 241
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positionAbsolute:
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x: 875.6911171693694
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y: 241
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selected: false
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sourcePosition: right
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targetPosition: left
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type: custom
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width: 242
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- data:
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dataset_ids:
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- Uh2PGtPpYOw26Hlf4hVp2UZoZaKw1tn8fF7eVJILOh0xwUeYPhPMBDp611riGULx
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multiple_retrieval_config:
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reranking_enable: false
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reranking_mode: weighted_score
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score_threshold: null
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top_k: 4
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weights:
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keyword_setting:
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keyword_weight: 0.4
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vector_setting:
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embedding_model_name: gemini-embedding-001
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embedding_provider_name: langgenius/gemini/google
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vector_weight: 0.6
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weight_type: customized
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query_variable_selector:
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- '1763644874951'
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- sys.query
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retrieval_mode: multiple
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selected: false
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title: Knowledge Retrieval
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type: knowledge-retrieval
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height: 52
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id: '1763644901024'
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position:
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x: 319
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y: 83
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positionAbsolute:
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x: 319
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y: 83
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selected: false
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sourcePosition: right
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targetPosition: left
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type: custom
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width: 242
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viewport:
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x: 14.465624141107696
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y: 161.3508892306686
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zoom: 0.8190190956202208
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rag_pipeline_variables: []
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