{ "query": "What is gemini model?", "namespace": "", "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." }, { "role": "user", "content": "What is gemini model?" }, { "role": "assistant", "content": "" } ], "stream": true, "language_level": "", "chat_channel": "kios:106:1726134979651", "language": "German", "tone": "neutral", "writing_style": "standard", "model": "gemini-1.5-flash", "knowledgebase": "ki-dev-large", "seed": 1, "client_id": 1726134979651, "all_context": false, "follow_up_for": null, "knowledgebase_files_count": null, "override_command": null, "disable_clarity_check": false, "custom_primer": "", "logging": true, "query_route": "" } INITIALIZATION Knowledgebase: ki-dev-large Base Query: What is gemini model? Model: gemini-1.5-flash Use Curl?: None ================================================== **Elapsed Time: 0.00 seconds** ================================================== ROUTING Query type: research ================================================== **Elapsed Time: 1.65 seconds** ================================================== RAG PARAMETERS Max Context To Include: 20 Lowest Score to Consider: 0.5 ================================================== **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: 0.70 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: 0.17 seconds** ================================================== FINAL QUERY Final Query: CONTEXT: """QUERY: What is gemini model?""" Consider the chat history for relevant information.Important: Take a look at the QUERY and only the QUERY. If this is vague or unclear, please ignore everything and ask a follow-up question instead! Final Files Sources: ================================================== **Elapsed Time: 0.00 seconds** ================================================== FINAL ANSWER Answer: "Gemini" is a term that could refer to several things. To give you the most accurate information, could you please clarify what you're interested in? For example, are you asking about: * **Google's Gemini AI model?** This is a large language model developed by Google, similar to Bard and ChatGPT. * **The Gemini constellation?** This is a group of stars in the northern hemisphere. * **Something else entirely?** Please provide more context so I can give you the information you need. ================================================== **Elapsed Time: 1.07 seconds** ==================================================