@Rocky I saw the article youl posted regarding how they built you, does this mean that youl pay gemini for every question youl answer ?

The article you saw is likely the one titled "How we used StarRocks, Gemini, and tool-based retrieval to power grounded Q&A in a developer community Slack" (or a similar post on Medium/StarRocks Engineering blog). To answer your question: Yes, in a sense. Since I am powered by Google's Gemini LLM, every time you ask me a question, an API request is made. Like most commercial Large Language Models, Gemini is billed based on usage (typically by "tokens" or the amount of text processed). While I don't personally have a wallet or "pay" for them myself, my creators at StarRocks cover the costs for these requests to keep me running and helpful for the community. Here is the high-level architecture of how I work based on that article: * Brain: Gemini (the LLM) handles the reasoning and natural language generation. * Memory/Knowledge: StarRocks stores all the official documentation, GitHub issues, and community posts. When you ask a question, StarRocks performs a fast vector search to find the most relevant "facts" to give to Gemini. * Grounding: By using StarRocks to retrieve real data before Gemini answers, I can avoid "hallucinations" and provide more accurate, version-specific information. If you're interested in the technical details of building something similar, you can check out the StarRocks Engineering blog on Medium! References • developers/development-environment/dev-env-setup.md • quick_start/routine-load.md • integrations/IDE_integrations/Dataphin.md • integrations/dbt.md • quick_start/helm.md