INITIALIZATION Knowledgebase: ki-dev-large Base Query: Welche Komponenten sind in der Anfrage für das Automatisierungssystem enthalten? Tabellarische Auflistung der Antworten wie folgt: Anzahl Lader oder Roboter, Bänder, SPC, Zusätzliche Komponenten, Prozess Steuerungen, Ermittlung Laderbaugröße. Model: gemini-1.5-pro-preview-0409 Use Curl?: ================================================== **Elapsed Time: 0.00 seconds** ================================================== ROUTING Query type: list ================================================== **Elapsed Time: 1.48 seconds** ================================================== RAG PARAMETERS Max Context To Include: 100 Lowest Score to Consider: 0.1 ================================================== **Elapsed Time: 0.00 seconds** ================================================== VECTOR SEARCH ALGORITHM TO USE Use MMR search?: True Use Similarity search?: False ================================================== **Elapsed Time: 0.10 seconds** ================================================== VECTOR SEARCH DONE ================================================== **Elapsed Time: 0.85 seconds** ================================================== FILENAMES AND KEYWORDS Keywords Found: ['anzahl', 'SPC', 'ermittlung'] All file names: [] File names to FILTER: [] ================================================== **Elapsed Time: 2.83 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 summarization and analysis. 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. Use as much tokens as possible to provide a detailed response. ================================================== **Elapsed Time: 0.00 seconds** ================================================== FINAL QUERY Final Query: CONTEXT: """QUERY: Welche Komponenten sind in der Anfrage für das Automatisierungssystem enthalten? Tabellarische Auflistung der Antworten wie folgt: Anzahl Lader oder Roboter, Bänder, SPC, Zusätzliche Komponenten, Prozess Steuerungen, Ermittlung Laderbaugröße.""" Consider the chat history for relevant information. Use all information included. Use as much tokens as needed.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: The provided query is in German and asks: "Which components are included in the request for the automation system? Tabular listing of the answers as follows: Number of loaders or robots, conveyors, SPC, Additional components, Process controls, Determination of loader size." To effectively respond to this query, I need more context. Specifically, I need to understand what "the request for the automation system" refers to. Could you please provide me with: 1. **The original request for the automation system:** This could be in the form of a document, email, or any other format that outlines the requirements and specifications of the automation system. 2. **Clarification on the meaning of "SPC":** Does this refer to Statistical Process Control, or something else in this context? Once I have this information, I can provide a comprehensive and informative response. ================================================== **Elapsed Time: 5.09 seconds** ==================================================