{ "query": "Give the average rating for each of the top laptop brands listed.", "namespace": "9b8f1b54-9684-4f4b-8db5-fe18d8235ca0", "messages": [ { "role": "assistant", "content": "Hallo Ana Test,\n\nich bin Simon, dein KI-Chatbot, der mit dem Large Language Model gemini-1.5-flash angetrieben wird. Ich kann dir alle Fragen zu den Dokumenten \"LaptopMag.pdf\" und \"TechRadar.pdf\" beantworten. \n\nM\u00f6chtest du mehr \u00fcber die besten Laptops von 2024 erfahren? \ud83d\udcbb Oder vielleicht interessieren dich die neuesten Gaming-Laptops? \ud83c\udfae Oder m\u00f6chtest du wissen, welches Chromebook f\u00fcr Studenten am besten geeignet ist? \ud83d\udc68\u200d\ud83c\udf93\n\nIch kann dir auch Informationen zu den besten Tablets, tragbaren Ladeger\u00e4ten, Monitoren, VR-Spielen, Antivirus-Programmen, Ray Tracing-Spielen und Dell-Laptop-Ladeger\u00e4ten geben. \n\nWas m\u00f6chtest du dir heute 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 Laptops docs ONLY + crawler after\nKnowledgebase files:\nLaptopMag.pdf\nTechRadar.pdf\nKnowledgebases crawlers:\n" }, { "role": "user", "content": "Give the average rating for each of the top laptop brands listed." }, { "role": "assistant", "content": "" } ], "stream": true, "language_level": "", "chat_channel": ":4330:1727762027348", "language": "German", "tone": "neutral", "writing_style": "standard", "model": "gemini-1.5-flash", "knowledgebase": "ki-dev-large", "seed": 1054, "client_id": 1727762027348, "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: 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: 1.85 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: 0.10 seconds** ================================================== VECTOR SEARCH DONE ================================================== **Elapsed Time: 0.73 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: ================================================== **Elapsed Time: 0.00 seconds** ================================================== FINAL ANSWER Answer: [Answer was streamed to client] ================================================== **Elapsed Time: 0.57 seconds** ==================================================