CAMI evaluates RAG indexes under a limited budget
Published on June 30, 2026, the CAMI paper proposes selecting semantic enrichment indexes for ingestion pipelines based on retrieval goals and computational cost.
Source: CAMI trata a construção de múltiplos índices como seleção sob orçamento (arxiv.org). Text prepared with AI from this source.
What happened and what to do
Published on June 30, 2026, the CAMI paper frames the construction of multiple semantic enrichment indexes for RAG ingestion pipelines as a multi-objective portfolio selection problem under a limited budget. Its framework evaluates retrieval quality and the computational cost of the indexes.
A company could apply this approach to compare index configurations before expanding a RAG pipeline. Practical work could define quality and cost metrics, test alternatives on representative data, and monitor results to guide selection within the available budget.
How the consultancy can help
Wendelmaques can diagnose the pipeline and retrieval goals, scope an implementation to evaluate index quality and cost, and support its operation and monitoring.
Next step
Send a short description of your RAG pipeline and goals to receive a scoped proposal.
Let's assess your project
I reply with scope and a proposal.