{ "query": "What's the most mentioned brand and how many times has it been mentioned?", "namespace": "dc8c47a4-6fb6-4036-8456-ed128a0784b9", "messages": [ { "role": "assistant", "content": "\ud83e\udd16\u2728 Hello, I am Simon, your personal assistant! \ud83c\udf1f How can I assist you today? Let's work together to answer your questions, overcome challenges, and achieve your goals! Just ask, and I am here for you.\n\nWhat's the most mentioned brand and how many times has it been mentioned?\n\n FOR ADDITIONAL CONTEXT:\n\nKnowledgebase name: Top Laptop Brands w no doc\nKnowledgebase files:\n\nKnowledgebases crawlers:\nname: TechRadar - url: https://www.techradar.com/news/mobile-computing/laptops/best-laptops-1304361\nname: LaptopMag - url: https://www.laptopmag.com/reviews/best-laptops-1" }, { "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* **MSI**\n* **Samsung**\n* **LG**\n* **Razer**\n* **Microsoft**" }, { "role": "user", "content": "What's the most mentioned brand and how many times has it been mentioned?" }, { "role": "assistant", "content": "" } ], "stream": true, "language_level": "", "chat_channel": ":4325:1727760996932", "language": "German", "tone": "neutral", "writing_style": "standard", "model": "gemini-1.5-flash", "knowledgebase": "ki-dev-large", "seed": 1054, "client_id": 1727760996932, "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: What's the most mentioned brand and how many times has it been mentioned? Model: gemini-1.5-flash **Elapsed Time: 0.00 seconds** ROUTING Query type: research **Elapsed Time: 1.98 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: 0.66 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: What's the most mentioned brand and how many times has it been mentioned?""" 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: 0.64 seconds** ==================================================