Databricks unveils faster enterprise search model
Databricks announced a new search model for enterprise data, Adaptive Instructed-Retriever. They say it matches top rival models on accuracy but responds in half the time. The model blends speedy parallel search with slower, multi-step methods, using extra steps only on tougher questions. Databricks claims careful training lets it return results quickly most of the time while maintaining quality.
- Model called Adaptive Instructed-Retriever
- Performs at 2x lower latency than alternatives
- Blends single-step and multi-step search
- Trained with synthetic enterprise data
- Prioritizes speed except for complex queries
Sources covering this
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