{ "query": "what is the model used?", "namespace": "ce946bde-9947-4685-a134-4062bdb1846c", "messages": [ { "role": "assistant", "content": "Hallo diverse Admin Updated User,\n\nich bin Simon, dein KI-Chatbot, der mit dem gro\u00dfen Sprachmodell gemini-1.5-flash ausgestattet ist, um all deine Fragen pr\u00e4zise und umfassend zu beantworten. \n\nBasierend auf dem Dokument \"DD_Block_Head_Automation_Inquiry_100424.pdf\" k\u00f6nnen wir \u00fcber verschiedene Themen sprechen, zum Beispiel:\n\n* \u2699\ufe0f **Automatisierungsprozesse:** Wie werden die Prozesse zur Herstellung von Dieselmotorbl\u00f6cken und -k\u00f6pfen automatisiert?\n* \ud83c\udfed **Ausr\u00fcstung und Komponenten:** Welche Maschinen und Ger\u00e4te werden in der Produktionslinie eingesetzt?\n* \ud83e\udd1d **Zusammenarbeit:** Wie arbeiten MAG und Dalian Diesel bei diesem Projekt zusammen?\n* \ud83d\udcca **Projektdetails:** Was sind die wichtigsten Daten und Spezifikationen des Projekts?\n* \ud83d\udcc8 **Effizienz und Pr\u00e4zision:** Wie tragen die eingesetzten Technologien zu einer h\u00f6heren Effizienz und Pr\u00e4zision bei?\n* \ud83d\uddfa\ufe0f **Layout und Planung:** Wie ist die Produktionsanlage aufgebaut und geplant?\n* \ud83d\udd0d **Spezifische Komponenten:** M\u00f6chten Sie mehr \u00fcber bestimmte Komponenten wie den Block- oder Kopf-Greifer erfahren?\n* \ud83d\udca1 **Zuk\u00fcnftige Entwicklungen:** Welche M\u00f6glichkeiten gibt es f\u00fcr die weitere Automatisierung und Optimierung der Prozesse?\n\nWas m\u00f6chtest du dir aus dieser Liste genauer ansehen? \ud83d\ude0a" }, { "role": "user", "content": "what is the model used?" }, { "role": "assistant", "content": "" } ], "stream": true, "language_level": "", "chat_channel": "kios:248:1726564043075", "language": "German", "tone": "neutral", "writing_style": "standard", "model": "gemini-1.5-flash", "knowledgebase": "ki-dev-large", "seed": 1, "client_id": 1726564043075, "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: what is the model used? Model: gemini-1.5-flash Use Curl?: None ================================================== **Elapsed Time: 0.00 seconds** ================================================== ROUTING Query type: research ================================================== **Elapsed Time: 1.59 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: 0.10 seconds** ================================================== VECTOR SEARCH DONE ================================================== **Elapsed Time: 0.68 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: 0.17 seconds** ================================================== FINAL QUERY Final Query: CONTEXT: """QUERY: what is the model used?""" 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: Please provide me with more context! "What model is used?" is a very broad question. To help me understand what you're asking, could you tell me: * **What are we talking about?** Is it a language model, a machine learning model, a statistical model, or something else entirely? * **What is the purpose of this model?** What is it used for? * **Where did you encounter this question?** Was it in a research paper, a news article, or a conversation? The more information you can give me, the better I can understand your question and provide a helpful answer. ================================================== **Elapsed Time: 0.95 seconds** ==================================================