Data Intelligence & Text-to-SQL Pipeline
Natural-language conversational BI over complex corporate warehouses: schema-aware SQL authoring, self-correcting query execution plans, and executive chart insights.
Models in this stack
Execution error feedback parsing and index-hint optimization
Fast data summary interpretation and executive bullet point takeaways
Production Deployment & FinOps Guidelines
Route 80% of standard intent/filtering requests to low-cost lightweight models, reserving frontier models only for complex reasoning.
Evaluate prompt caching for reusable system instructions and retrieval prefixes. Savings depend on vendor rates, cache-hit ratio, and request shape, and must be validated against billing data.
Configure secondary aggregator or alternative provider failovers to sustain uptime when primary endpoints hit rate limits.
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