{
    "query": "give summary",
    "namespace": "1227fe15-a74b-4aa5-a8cc-c1f9b94b8daf",
    "messages": [
        {
            "role": "user",
            "content": "give summary"
        },
        {
            "role": "assistant",
            "content": ""
        }
    ],
    "stream": true,
    "language_level": "",
    "chat_channel": "kios:200:1726135459869",
    "language": "German",
    "tone": "neutral",
    "writing_style": "standard",
    "model": "gemini-1.5-flash",
    "knowledgebase": "ki-dev-large",
    "seed": 1,
    "client_id": 1726135459869,
    "all_context": false,
    "follow_up_for": null,
    "knowledgebase_files_count": 2,
    "override_command": null,
    "disable_clarity_check": false,
    "custom_primer": "",
    "logging": true,
    "query_route": ""
}


INITIALIZATION
Knowledgebase: ki-dev-large
Base Query: give summary
Model: gemini-1.5-flash
Use Curl?: None
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**Elapsed Time: 0.00 seconds**
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ROUTING
Query type: summary
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**Elapsed Time: 1.99 seconds**
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RAG PARAMETERS
Max Context To Include: 100
Lowest Score to Consider: 0.1
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**Elapsed Time: 0.14 seconds**
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VECTOR SEARCH ALGORITHM TO USE 
Use MMR search?: True
Use Similarity search?: False
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**Elapsed Time: 0.10 seconds**
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VECTOR SEARCH DONE 
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**Elapsed Time: 1.35 seconds**
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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.
        
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**Elapsed Time: 0.17 seconds**
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FINAL QUERY 
Final Query: CONTEXT: ##########
File: dictionary.txt

Page: 1

Context: Definitionen:

- Antworten Sie nur mit einer Gemeinde für Kundenstandort. Geben Sie in der Adresse keine zusätzlichen Details wie Fabrik, Gebäude, Werk usw. an.
- Alle großen Automobilhersteller (Mercedes-Benz, Porsche, Audi, Volkswagen, MAN usw.) Kundentyp: OEM
- Es muss zwischen Endkunden und dem Kunden unterschieden werden. Der Endkunde beschreibt den Auftragsgeber wo die Automationlösung verbleibt. Der Kunde ist der direkte Auftraggeber. Vorschriften vom Endkunden haben eine höhere Gewichtung. Endkunde und Kunde können, müssen aber nicht gleich sein.
- Für den geschätzten Gesamtumsatz runden Sie auf die nächste Million (MEUR) auf.
- Technische Anforderungen sind als Auflistung anzugeben.
- Die Automationsinhalte sind als Funktionseinhalten darzustellen. Funktionsinhalte beschreiben die einzelnen Funktionen im gesamten Produktionsablauf.
##########

"""QUERY: give summary"""

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: dictionary.txt - Page 1
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FINAL ANSWER 
Answer: This document outlines guidelines for defining customer locations, customer types, and financial estimations. It emphasizes the distinction between end customers and direct customers, highlighting the higher priority of end customer requirements. Additionally, it specifies the format for technical requirements and automation content, emphasizing the use of functional units to describe individual functions within the production process. 

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