Loop Engineering for RAG Generation: An LLM Cascade from a Cheap Local Model Up to a Hosted Flagship

Short summary

This article explores a cascading LLM architecture for RAG generation, starting from inexpensive local models and escalating to a hosted flagship model when needed. It examines the approach from two angles: cost efficiency and a validation loop to ensure output quality. The author benchmarks twenty local models against a hosted flagship to demonstrate real-world trade-offs.

• •Cascading from cheap local LLMs to a hosted flagship model for RAG generation
• •Two perspectives covered: cost optimization and a validation loop for quality
• •Real benchmark sweep of twenty local models versus one hosted flagship

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