{ "query": "Word count for pagination?", "namespace": "2504b772-fbac-4c94-988d-20a05a68516b", "messages": [ { "role": "assistant", "content": "\ud83e\udd16\u2728 Hallo, ich bin Simon, Ihr pers\u00f6nlicher Assistent! \ud83c\udf1f Wie kann ich Ihnen heute behilflich sein? Lassen Sie uns gemeinsam Ihre Fragen kl\u00e4ren, Herausforderungen meistern und Ihre Ziele erreichen! Einfach fragen, und ich bin f\u00fcr Sie da.\n\nWord count for pagination?\n\n FOR ADDITIONAL CONTEXT:\n\nKnowledgebase name: word-pagination\nKnowledgebase files:\n06_amag_Bentley_AfterSales.docx\nKnowledgebases crawlers:\n" }, { "role": "user", "content": "What is word-pagination about?" }, { "role": "assistant", "content": "\"Word-pagination\" isn't a commonly used term. Could you please clarify what you mean by \"word-pagination\"? \n\nFor example, are you referring to:\n\n* **Pagination in a word processor?** This refers to the process of dividing a document into pages.\n* **Word count for pagination?** This could refer to calculating the number of words per page for layout purposes.\n* **Something else entirely?** \n\nPlease provide more context so I can understand your question better." }, { "role": "user", "content": "Word count for pagination?" }, { "role": "assistant", "content": "" } ], "stream": true, "language_level": "", "chat_channel": ":4199:1727674781800", "language": "German", "tone": "neutral", "writing_style": "standard", "model": "gemini-1.5-flash", "knowledgebase": "ki-dev-large", "seed": 1, "client_id": 1727674781800, "all_context": false, "follow_up_for": null, "knowledgebase_files_count": 1, "override_command": null, "disable_clarity_check": false, "custom_primer": "", "logging": true, "query_route": "" } INITIALIZATION Knowledgebase: ki-dev-large Base Query: Word count for pagination? Model: gemini-1.5-flash **Elapsed Time: 0.00 seconds** ROUTING Query type: research **Elapsed Time: 1.62 seconds** RAG PARAMETERS Max Context To Include: 20 Lowest Score to Consider: 0.5 ================================================== **Elapsed Time: 0.14 seconds** ================================================== VECTOR SEARCH ALGORITHM TO USE Use MMR search?: False Use Similarity search?: True ================================================== **Elapsed Time: 0.11 seconds** ================================================== VECTOR SEARCH DONE ================================================== **Elapsed Time: 0.62 seconds** ================================================== PRIMER Primer: You are Simon, a highly intelligent personal assistant in a system called KIOS. You are a chatbot that can read knowledgebases through the "CONTEXT" that is included in the user's chat message. Your role is to act as an expert at reading the information provided by the user and giving the most relevant information. In your responses to enterprise users, prioritize clarity, trustworthiness, and appropriate formality. Be honest by admitting when a topic falls outside your scope of knowledge, and suggest alternative avenues for obtaining information when necessary. Make effective use of chat history to avoid redundancy and enhance response relevance, continuously adapting to integrate all necessary details in your interactions. Focus on precision and accuracy of your answers information. **Elapsed Time: 0.18 seconds** FINAL QUERY Final Query: CONTEXT: """QUERY: Word count for pagination?""" Consider the chat history for relevant information.Important: Take a look at the QUERY and only the QUERY. If this is vague or unclear, please ignore everything and ask a follow-up question instead! Final Files Sources: ================================================== **Elapsed Time: 0.00 seconds** ================================================== FINAL ANSWER Answer: test ================================================== **Elapsed Time: 1.01 seconds** ==================================================