Databricks' Adaptive Retriever: Does It Actually Cut RAG Costs?
Databricks' Adaptive Instructed-Retriever aims to reduce RAG costs by dynamically routing queries, but its effectiveness depends on the accuracy of its internal classifier.
Databricks' Adaptive Instructed-Retriever aims to reduce RAG costs by dynamically routing queries, but its effectiveness depends on the accuracy of its internal classifier.
Google's new Gemini 3.7 Flash model is faster and cheaper for simple coding tasks but struggles with the complex, multi-file workflows of a real-world codebase.