CData Connect AI discovers and caches federated query patterns across Salesforce/Snowflake/ServiceNow, reducing token spend by up to 97.6% once workflows stabilize.
Summary
Developers building multi-source RAG systems can dramatically lower inference costs by letting models reason across APIs first, then caching stable patterns. This flips the typical approach of pre-optimizing prompts.
Why it matters
Developers building multi-source RAG systems can dramatically lower inference costs by letting models reason across APIs first, then caching stable patterns. This flips the typical approach of pre-optimizing prompts.
Implementation verdict
Replaces hand-rolled federated query logic and pre-cached result sets. Requires CData Connect AI integration and enough live traffic to stabilize patterns. Benchmark methodology unclear—run their test on your own data before committing.
Sources
Dev Signal
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