🚀 Building Harbor AI: Lessons Learned from Developing a Next-Gen Analytics Engine
When we launched Harbor AI, we anticipated creating just a chatbot. Instead, we engineered a sophisticated analytical engine that fuses conversational AI with real-time analytics. Here’s what we learned during the journey:
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Security First: Initially, our design nearly compromised data integrity. We shifted to a read-only, table-level isolation approach, ensuring faultless security.
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Memory Matters: Our three-tier memory system—working, short-term, and long-term—significantly optimized token usage, resulting in cost savings and improved user experience.
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Visualization Made Fast: We enhanced rendering performance by adopting a more efficient backend and smart storage solutions.
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Expert Tool Integration: Instead of relying solely on AI to write SQL, we deployed domain-specific tools that ensure accurate data analysis.
As we evolve, Harbor AI aims to educate users in data analysis, fostering collaboration and critical thinking.
👉 Curious to learn more? Check out our journey and share your thoughts!
