{
    "query": "M\u00f6chtest du mehr \u00fcber die Ergebnisse der Stromanbieter-Studie erfahren? \ud83d\udca1",
    "namespace": "7ecd3aac-147e-4f0f-a0c5-287838b1a9c2",
    "messages": [
        {
            "role": "assistant",
            "content": "Hallo  Admin User,\n\nich bin Simon, dein KI-Chatbot, der mit dem Large Language Model gemini-1.5-flash arbeitet. Ich kann dir alle Fragen zu den Dokumenten in unserer Wissensdatenbank \"studie-02.10.2024\" beantworten. \n\nIn dieser Datenbank befinden sich die Dokumente \"ChatBot_Studie_Stromanbieter_Dokumentation_VORAB_FINAL(3).pdf\" und \"ChatBot_Servicestudie_Mo%CC%88belha%CC%88user_Dokumenation_FINAL%282%29.pdf\". \n\nM\u00f6chtest du mehr \u00fcber die Ergebnisse der Stromanbieter-Studie erfahren? \ud83d\udca1  \nOder interessieren dich die Ergebnisse der M\u00f6belhaus-Studie? \ud83d\udecb\ufe0f  \nVielleicht m\u00f6chtest du auch die Methodik der Studien genauer betrachten? \ud83d\udd0d  \nOder hast du Fragen zu den Top-Unternehmen in den jeweiligen Branchen? \ud83c\udfc6  \n\nSprich einfach mit mir, ich bin gespannt auf deine Fragen! \ud83d\ude0a\n\n\nM\u00f6chtest du mehr \u00fcber die Ergebnisse der Stromanbieter-Studie erfahren? \ud83d\udca1\n\n FOR ADDITIONAL CONTEXT:\n\nKnowledgebase name: studie-02.10.2024\nKnowledgebase files:\nChatBot_Studie_Stromanbieter_Dokumentation_VORAB_FINAL(3).pdf\nChatBot_Servicestudie_Mo\u0308belha\u0308user_Dokumenation_FINAL(2).pdf\nKnowledgebases crawlers:\n"
        },
        {
            "role": "user",
            "content": "M\u00f6chtest du mehr \u00fcber die Ergebnisse der Stromanbieter-Studie erfahren? \ud83d\udca1"
        },
        {
            "role": "assistant",
            "content": ""
        }
    ],
    "stream": true,
    "language_level": "",
    "chat_channel": ":4468:1727871586167",
    "language": "German",
    "tone": "neutral",
    "writing_style": "standard",
    "model": "gemini-1.5-flash",
    "knowledgebase": "ki-dev-large",
    "seed": 1,
    "client_id": 1727871586167,
    "all_context": true,
    "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: Möchtest du mehr über die Ergebnisse der Stromanbieter-Studie erfahren? 💡
Model: gemini-1.5-flash
**Elapsed Time: 0.00 seconds**
ROUTING
Query type: research
**Elapsed Time: 1.56 seconds**
RAG PARAMETERS
Max Context To Include: 120
Lowest Score to Consider: 0
==================================================
**Elapsed Time: 0.14 seconds**
==================================================


VECTOR SEARCH ALGORITHM TO USE 
Use MMR search?: False
Use Similarity search?: True
==================================================
**Elapsed Time: 0.12 seconds**
==================================================


VECTOR SEARCH DONE 
==================================================
**Elapsed Time: 0.84 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: 0.20 seconds**
FINAL QUERY 
Final Query: CONTEXT: 

"""QUERY: Möchtest du mehr über die Ergebnisse der Stromanbieter-Studie erfahren? 💡"""

Consider the chat history for relevant information. Use all information included. If query is already asked in the history double check the correctness of your answer and maybe correct your previous mistake.

Important: Take a look at the QUERY and only the QUERY. Please try always to answer the query question. If the client ask for a formatting structure follow his advise.But if the question is vague or unclear ask a follow-up question based on the context. If too many questions were asked already based on the history, just answer the question


Final Files Sources: 
==================================================
**Elapsed Time: 0.00 seconds**
==================================================


FINAL ANSWER 
Answer: [Answer was streamed to client]
==================================================
**Elapsed Time: 0.83 seconds**
==================================================