app:
  description: A chatbot that answers questions using only our Jira knowledge base.
  icon: 🤖
  icon_background: '#FFEAD5'
  icon_type: emoji
  mode: advanced-chat
  name: 'Exercise 3: Building a RAG'
  use_icon_as_answer_icon: false
dependencies:
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  type: marketplace
  value:
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kind: app
version: 0.7.0
workflow:
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  features:
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      allowed_file_types:
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      allowed_file_upload_methods:
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      fileUploadConfig:
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      image:
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        number_limits: 3
        transfer_methods:
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    opening_statement: '🎩 Welcome to Testus Patronus, the AI assistant for magical
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      Before we begin, tell me what you''re working on today:

      - A Jira issue?

      - Reviewing test coverage?

      - Looking for documentation insights?


      Just ask your question below and I''ll see what''s in the spellbook 📚'
    retriever_resource:
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    sensitive_word_avoidance:
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    speech_to_text:
      enabled: false
    suggested_questions:
    - What kind of bug is issue 266 and what is it about?
    - Who is assigned to REST-266?
    - What is the project about?
    - Does the project support webhooks?
    suggested_questions_after_answer:
      enabled: false
    text_to_speech:
      enabled: false
      language: ''
      voice: ''
  graph:
    edges:
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        isInLoop: false
        iteration_id: null
        loop_id: null
        sourceType: start
        targetType: knowledge-retrieval
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    - data:
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        iteration_id: null
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        sourceType: knowledge-retrieval
        targetType: llm
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      source: '1790417549799'
      sourceHandle: source
      target: llm
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    - data:
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        iteration_id: null
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        sourceType: llm
        targetType: answer
      id: llm-answer
      source: llm
      sourceHandle: source
      target: answer
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    nodes:
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        title: User Input
        type: start
        variables: []
      height: 73
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      position:
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      positionAbsolute:
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      selected: false
      sourcePosition: right
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    - data:
        dataset_ids:
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        multiple_retrieval_config:
          reranking_enable: false
          reranking_mode: weighted_score
          score_threshold: 0.5
          top_k: 4
          weights:
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            vector_setting:
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              embedding_provider_name: langgenius/azure_openai/azure_openai
              vector_weight: 1
            weight_type: customized
        query_attachment_selector: []
        query_variable_selector:
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        selected: false
        title: Knowledge Retrieval
        type: knowledge-retrieval
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    - data:
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          variable_selector:
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          - result
        desc: Answers only from the retrieved Jira context
        memory:
          query_prompt_template: '{{#sys.query#}}'
          role_prefix:
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            user: ''
          window:
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            size: 10
        model:
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          mode: chat
          name: gpt-35-turbo-16k
          provider: langgenius/azure_openai/azure_openai
        prompt_template:
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          role: system
          text: 'You are a software testing assistant helping engineers understand
            Jira issues, project documentation, and related work.


            Only answer using the information provided in the context below. Never
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            If the context does not contain relevant information, reply exactly:

            "I''m sorry, I can''t find relevant information in the project documentation
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            Each context chunk describes one Jira issue: its key and aliases (for
            example REST-266, Issue 266), example questions, summary, type, status,
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            Your reply should:

            - Give a concise, professional summary of the issue or topic

            - Highlight relevant fields (summary, type, status, assignee, etc.)

            - Mention related issues when they appear in the context

            - Clarify technical areas (for example endpoints, APIs, modules)

            - Explain the relevance for testing (for example new test cases, regression
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            If information is missing, say what is known and what isn''t.


            Context:

            {{#context#}}

            '
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        title: LLM
        type: llm
        vision:
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      positionAbsolute:
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      selected: false
      sourcePosition: right
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      width: 242
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    viewport:
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  rag_pipeline_variables: []