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@vaicli/vai-workflow-model-shootout

v1.0.0

Published

Compare voyage-4-large, voyage-4, and voyage-4-lite side-by-side on your data. Shows retrieval quality differences and cost savings for each model.

Readme

vai-workflow-model-shootout

Developers choosing between voyage-4-large, voyage-4, and voyage-4-lite need to understand the quality-cost tradeoff for their specific data and queries. Published benchmarks show aggregate scores, but retrieval quality varies by domain.

Install

vai workflow install vai-workflow-model-shootout

How It Works

  1. Parallel search — Run the same query through all three models simultaneously
  2. Cost estimates — Get cost data for each model in parallel
  3. Compare — An LLM generates a side-by-side comparison report with recommendations

Execution Plan

Layer 1 (parallel):  search_large | search_base | search_lite | cost_large | cost_base | cost_lite
Layer 2:             comparison_report

Example Usage

vai workflow run vai-workflow-model-shootout \
  --input query="What are the best practices for database connection pooling?" \
  --input collection="engineering_docs"

What This Teaches

  • Six steps in parallel — all search and cost estimate steps have no inter-dependencies
  • Directly demonstrates the shared embedding space by querying the same collection with different models
  • The generate prompt explicitly mentions the asymmetric embedding capability
  • This is the most compelling demonstration of Voyage AI's cost-saving architecture

License

MIT © 2026 Michael Lynn