Can an AI agent handle a 10M-row dataset in sub-2 seconds?
By leveraging DuckDB and a columnar vectorized execution engine, I built a conversational BI agent that bridges the gap between raw data and executive decisions.
In this post, I explore how we integrated generative AI with high-performance analytical databases to create a seamless experience for data-driven teams.
Originally published at dattasable.com
Surgical Optimization
If you're building complex AI/BI pipelines, don't let "Prompt Entropy" waste your tokens.
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