Databricks Reveals How to Classify Text Across 100k+ Labels Efficiently
Thousands of customers need to map freeform text to massive taxonomies; traditional regex or LLM approaches either break or become costly. Databricks engineered a pipeline combining AI‑Classify with vector search and embeddings that outperforms frontier models in accuracy and cost, handling 100k+ labels at production scale. This unlocks reliable, scalable classification for large label taxonomies.