{
    "query": "What's the highest rated laptop brands by average?",
    "namespace": "810d2f64-b738-4426-8e65-f929ed58b7b9",
    "messages": [
        {
            "role": "user",
            "content": "List down the top laptop brands listed"
        },
        {
            "role": "assistant",
            "content": "The top laptop brands listed in the provided text are:\n\n* Apple\n* Dell\n* Lenovo\n* HP\n* Alienware\n* Asus\n* Acer\n* Samsung\n* MSI\n* Razer\n* LG \n"
        },
        {
            "role": "user",
            "content": "Give the average rating for each of the top laptop brands listed."
        },
        {
            "role": "assistant",
            "content": "I apologize, but I need more information to provide the average ratings for each laptop brand. The provided context only lists the top laptop brands, but it doesn't include any ratings. \n\nTo give you the average ratings, I would need a source with information on the ratings for each brand.  Please provide me with a list of ratings or a link to a website where I can find this information. \n"
        },
        {
            "role": "user",
            "content": "What's the highest rated laptop brands by average?"
        },
        {
            "role": "assistant",
            "content": " "
        }
    ],
    "stream": false,
    "language_level": "",
    "chat_channel": ":183:1054",
    "language": "German",
    "tone": "neutral",
    "writing_style": "standard",
    "model": "gemini-1.5-flash",
    "knowledgebase": "ki-dev-large",
    "seed": 1054,
    "client_id": 1054,
    "all_context": true,
    "follow_up_for": null,
    "knowledgebase_files_count": 2,
    "override_command": "",
    "disable_clarity_check": false,
    "custom_primer": "",
    "logging": true,
    "query_route": ""
}


INITIALIZATION
Knowledgebase: ki-dev-large
Base Query: What's the highest rated laptop brands by average?
Model: gemini-1.5-flash
**Elapsed Time: 0.00 seconds**
ROUTING
Query type: research
**Elapsed Time: 1.52 seconds**
RAG PARAMETERS
Max Context To Include: 120
Lowest Score to Consider: 0
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**Elapsed Time: 0.00 seconds**
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VECTOR SEARCH ALGORITHM TO USE 
Use MMR search?: False
Use Similarity search?: True
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**Elapsed Time: 0.11 seconds**
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VECTOR SEARCH DONE 
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**Elapsed Time: 0.79 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 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: 0.19 seconds**
FINAL QUERY 
Final Query: CONTEXT: 

"""QUERY: What's the highest rated laptop brands by average?"""

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.
Final Files Sources: 
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**Elapsed Time: 0.87 seconds**
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FINAL ANSWER 
Answer: <IPython.core.display.Markdown object>
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**Elapsed Time: 0.00 seconds**
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