{
    "query": "How about the top1  movie for 2024?",
    "namespace": "cf999393-d232-429c-81ab-248765768b77",
    "messages": [
        {
            "role": "assistant",
            "content": "Hallo Herr Ana Test,\n\nich bin Simon, Ihr KI-Chatbot, der mit dem Large Language Model gemini-1.5-flash ausgestattet ist, um all Ihre Fragen zu beantworten. \n\nIch habe Zugriff auf die Wissensdatenbank \"10.03.24 Top Movies (text docs)\", die Informationen zu den erfolgreichsten Filmen von 2022 und 2023 enth\u00e4lt. \n\nM\u00f6chten Sie mehr \u00fcber folgende Themen erfahren? \n\n* \ud83c\udfac Die Top 26 Filme von 2023 nach weltweitem Einspielergebnis \n* \ud83c\udfc6 Die Top 20 Filme von 2022 nach IMDb-Bewertung \n* \ud83d\udcca Vergleich der Einspielergebnisse von Filmen in den USA und international \n* \ud83d\udcc8 Analyse der Einspielergebnisse von Filmen nach Genre \n* \ud83d\udd0d Suche nach einem bestimmten Film in der Datenbank \n\nWas m\u00f6chten Sie sich heute ansehen? \n\n\nHow about the top1  movie for 2024?\n\n FOR ADDITIONAL CONTEXT:\n\nKnowledgebase name: 10.03.24 Top Movies (text docs)\nKnowledgebase files:\n2023 - Box office hits.docx\nIndusface PDF but as photo.pdf\nIndusface PDF but as photo(1).pdf\nIndusface PDF but as photo(2).pdf\n2022 - IMDB top movies (text).docx\nKnowledgebases crawlers:\nname: pinecone - url: https://docs.pinecone.io/reference/create_index"
        },
        {
            "role": "user",
            "content": "What is the top 1 movie for 2023?"
        },
        {
            "role": "assistant",
            "content": "The top 1 movie for 2023, based on worldwide box office gross, is **Barbie**."
        },
        {
            "role": "user",
            "content": "How about the top1  movie for 2024?"
        },
        {
            "role": "assistant",
            "content": ""
        }
    ],
    "stream": true,
    "language_level": "",
    "chat_channel": ":4693:1728540322990",
    "language": "German",
    "tone": "neutral",
    "writing_style": "standard",
    "model": "gemini-1.5-flash",
    "knowledgebase": "ki-dev-large",
    "seed": 1054,
    "client_id": 1728540322990,
    "all_context": true,
    "follow_up_for": null,
    "knowledgebase_files_count": 6,
    "override_command": null,
    "disable_clarity_check": false,
    "custom_primer": "",
    "logging": true,
    "query_route": ""
}


INITIALIZATION
Knowledgebase: ki-dev-large
Base Query: How about the top1  movie for 2024?
Model: gemini-1.5-flash
**Elapsed Time: 0.00 seconds**
ROUTING
Query type: research
**Elapsed Time: 1.58 seconds**
RAG PARAMETERS
Max Context To Include: 120
Lowest Score to Consider: 0
==================================================
**Elapsed Time: 0.14 seconds**
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VECTOR SEARCH ALGORITHM TO USE 
Use MMR search?: False
Use Similarity search?: True
==================================================
**Elapsed Time: 0.10 seconds**
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VECTOR SEARCH DONE 
==================================================
**Elapsed Time: 1.04 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.
            In the "CONTEXT", prioritize information from data tagged "FEEDBACK:".

        
            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: 0.17 seconds**
FINAL QUERY 
Final Query: CONTEXT: 

"""QUERY: How about the top1  movie for 2024?"""

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: 
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**Elapsed Time: 0.00 seconds**
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FINAL ANSWER 
Answer: [Answer was streamed to client]
==================================================
**Elapsed Time: 0.70 seconds**
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