{
    "query": "Give the average rating for each of the top laptop brands listed.",
    "namespace": "810d2f64-b738-4426-8e65-f929ed58b7b9",
    "messages": [
        {
            "role": "assistant",
            "content": "Hallo Ana Test,\n\nich bin Simon, dein KI-Assistent, der mit dem Large Language Model gemini-1.5-flash arbeitet. Ich kann dir alle deine Fragen pr\u00e4zise und umfassend beantworten, indem ich auf die Wissensdatenbank \"Top Laptop Brands\" zugreife. \n\nIn dieser Datenbank befinden sich Dokumente wie \"LaptopMag.docx\", \"LaptopMag.pdf\" und \"TechRadar.pdf\", die Informationen \u00fcber die besten Laptops von 2024 liefern. \n\nM\u00f6chtest du mehr \u00fcber bestimmte Laptop-Kategorien erfahren? Zum Beispiel:\n\n* \ud83d\udcbb **Die besten Laptops insgesamt** \n* \ud83d\udcb0 **Die besten Laptops f\u00fcr ein begrenztes Budget** \n* \ud83c\udf93 **Die besten Laptops f\u00fcr Studenten** \n* \ud83d\ude80 **Die besten Laptops f\u00fcr Gaming** \n* \ud83d\udcbc **Die besten Laptops f\u00fcr die Arbeit** \n* \ud83c\udfa8 **Die besten Laptops f\u00fcr Kreative** \n* \ud83d\udd0b **Die Laptops mit der l\u00e4ngsten Akkulaufzeit** \n* \ud83d\udcbb **Die besten Laptops mit OLED-Bildschirmen** \n* \ud83d\udcf1 **Die besten Laptops mit gro\u00dfen Bildschirmen** \n\nWas m\u00f6chtest du dir heute genauer ansehen? \ud83e\udd14\n\nGive the average rating for each of the top laptop brands listed.\n\n FOR ADDITIONAL CONTEXT:\n\nKnowledgebase name: Top Laptop Brands with doc\nKnowledgebase files:\nLaptopMag.docx\nLaptopMag.pdf\nTechRadar.pdf\nKnowledgebases crawlers:\nname: TechRadar - url: https://www.techradar.com/news/mobile-computing/laptops/best-laptops-1304361"
        },
        {
            "role": "user",
            "content": "List down the top laptop brands listed"
        },
        {
            "role": "assistant",
            "content": "The top laptop brands listed in the provided context are:\n\n* **Apple**\n* **Dell**\n* **Lenovo**\n* **HP**\n* **Acer**\n* **Asus**\n* **Razer**\n* **MSI**\n* **LG**\n* **Samsung**\n* **Gigabyte**\n* **Brother**\n* **Canon**\n* **HP** (again, for printers)"
        },
        {
            "role": "user",
            "content": "What's the most mentioned brand and how many times has it been mentioned?"
        },
        {
            "role": "assistant",
            "content": "Based on the provided context, **HP** is the most mentioned brand, appearing **twice**."
        },
        {
            "role": "user",
            "content": "Give the average rating for each of the top laptop brands listed."
        },
        {
            "role": "assistant",
            "content": ""
        }
    ],
    "stream": true,
    "language_level": "",
    "chat_channel": ":4326:1727761053803",
    "language": "German",
    "tone": "neutral",
    "writing_style": "standard",
    "model": "gemini-1.5-flash",
    "knowledgebase": "ki-dev-large",
    "seed": 1054,
    "client_id": 1727761053803,
    "all_context": true,
    "follow_up_for": null,
    "knowledgebase_files_count": 4,
    "override_command": null,
    "disable_clarity_check": false,
    "custom_primer": "",
    "logging": true,
    "query_route": ""
}


INITIALIZATION
Knowledgebase: ki-dev-large
Base Query: Give the average rating for each of the top laptop brands listed.
Model: gemini-1.5-flash
**Elapsed Time: 0.00 seconds**
ROUTING
Query type: research
**Elapsed Time: 1.67 seconds**
RAG PARAMETERS
Max Context To Include: 120
Lowest Score to Consider: 0
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**Elapsed Time: 0.14 seconds**
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VECTOR SEARCH ALGORITHM TO USE 
Use MMR search?: False
Use Similarity search?: True
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**Elapsed Time: 0.10 seconds**
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VECTOR SEARCH DONE 
==================================================
**Elapsed Time: 0.76 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: Give the average rating for each of the top laptop brands listed."""

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 questions is vague or unclear ask a follow-up question based on the context.


Final Files Sources: 
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**Elapsed Time: 0.00 seconds**
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FINAL ANSWER 
Answer: [Answer was streamed to client]
==================================================
**Elapsed Time: 0.93 seconds**
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