AI Knowledge Bases at Scale: Discovering Key Analytics Insights in Massive Data Archives
Live, hands-on webinar with Andriy Burkov, AI/ML expert and bestselling author.
January 21st, 2026 - 10 AM US Pacific
You'll see how to semantically search across a large-scale real-world data — and how MindsDB agents can dynamically generate queries to surface insights from the Knowledge Base. The session demonstrates MindsDB’s scalability, metadata-aware querying, and end-to-end integration of Knowledge Bases with natural-language reasoning.
Why attend:
Most “RAG” demos crumble on a real-world scale. In this live, hands-on session, Andriy Burkov will show how to build a production-grade Knowledge Base in MindsDB on top of a massive real-world dataset—then wire up an agent that generates targeted KB queries on demand to deliver fast, grounded, source-linked answers at scale.
What you'll learn:
Load and organize a multi-million article dataset into a MindsDB Knowledge Base designed for speed, recall, and verifiability.
Structure and execute dynamic KB queries that pull exactly the facts you need.
Practical tips for grounding, evaluation, and latency at the millions-of-facts scale.
Who should attend:
Data/ML engineers, analytics leaders, AI product builders, enterprise architects—anyone who needs trustworthy answers from large corporate text archives, not just summaries.