{ "query": "Wie funktioniert die Bewertungsmethode von MyAnimeList.net?", "namespace": "313e8777-d146-46f6-851e-d50ca0dc8723", "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 zu den Top 100 Anime pr\u00e4zise und umfassend beantworten. \n\nM\u00f6chtest du mehr \u00fcber die beliebtesten Anime erfahren? Hier sind ein paar Vorschl\u00e4ge:\n\n* \ud83c\udfc6 **Welche Anime stehen aktuell auf Platz 1 und 2 der Liste?**\n* \ud83d\udcc8 **Wie hat sich die Popularit\u00e4t von Anime im Laufe der Zeit entwickelt?**\n* \ud83d\udd0d **Gibt es bestimmte Genres, die in der Top 100 besonders beliebt sind?**\n* \ud83d\udde3\ufe0f **Welche Anime haben die meisten Stimmen erhalten?**\n* \ud83c\udf10 **Wie funktioniert die Bewertungsmethode von MyAnimeList.net?**\n\nWas m\u00f6chtest du dir heute aus der Liste der Top 100 Anime ansehen?\n\nWie funktioniert die Bewertungsmethode von MyAnimeList.net?\n\n FOR ADDITIONAL CONTEXT:\n\nKnowledgebase name: Top 100 Anime with docs\nKnowledgebase files:\nTop 100 Most Popular.docx\nKnowledgebases crawlers:\nname: myanimelist - url: https://myanimelist.net/topanime.php\nname: imdb - url: https://www.imdb.com/list/ls057577566" }, { "role": "user", "content": "Wie funktioniert die Bewertungsmethode von MyAnimeList.net?" }, { "role": "assistant", "content": "" } ], "stream": true, "language_level": "", "chat_channel": ":4296:1727747108748", "language": "German", "tone": "neutral", "writing_style": "standard", "model": "gemini-1.5-flash", "knowledgebase": "ki-dev-large", "seed": 1054, "client_id": 1727747108748, "all_context": true, "follow_up_for": null, "knowledgebase_files_count": 3, "override_command": null, "disable_clarity_check": false, "custom_primer": "", "logging": true, "query_route": "" } INITIALIZATION Knowledgebase: ki-dev-large Base Query: Wie funktioniert die Bewertungsmethode von MyAnimeList.net? Model: gemini-1.5-flash **Elapsed Time: 0.00 seconds** ROUTING Query type: research **Elapsed Time: 1.92 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: 0.11 seconds** ================================================== VECTOR SEARCH DONE ================================================== **Elapsed Time: 0.69 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: Wie funktioniert die Bewertungsmethode von MyAnimeList.net?""" 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. Try to support the customer give him also suggestions as a list of multiple suggestions at least 3-6 what he can also ask as related questions or follow-up questions. Final Files Sources: ================================================== **Elapsed Time: 0.00 seconds** ================================================== FINAL ANSWER Answer: [Answer was streamed to client] ================================================== **Elapsed Time: 1.96 seconds** ==================================================