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Encoding Your Domain Expert: The Context Layer Behind Spotify's Data Assistant | Spotify Engineering
Spotify built Vedder, an AI data assistant that uses domain-specific “clusters” curated by expert teams to provide reliable SQL-generated insights. Each cluster combines relevant datasets, vetted question–SQL pairs, and docs, with automated health scoring and feedback loops to keep context accurate and scalable.
- Auto-generating question-SQL examples from query logs mostly failed—only 12.5% passed expert review, proving curated human examples beat scraped ones
- Vedder's reliability comes from domain-expert-curated "clusters" (tables + vetted SQL examples + docs), not a bigger LLM
- Health scoring tracks schema drift and broken examples so experts know which clusters need fixing as data evolves
- Adopted by 2,100+ employees for 13,000+ conversations since August 2025, showing real traction beyond a pilot
data-assistant
context-layer
+ cluster-model
+ domain-expertise
+ schema-curation
+ ai
+ domain-experts
+ data-curation