Production RAG: evaluating retrieval improvements
A paper published on June 30, 2026, evaluates RAG retrieval strategies and whether their benefits hold across collections with varied formats.
Source: Melhorias de retrieval em RAG com um reranker forte (arxiv.org). Text prepared with AI from this source.
What happened and what to do
The paper, published on June 30, 2026, evaluates query expansion, summarization, graph-based expansion, routing, rank fusion, and corrective re-retrieval alongside a strong cross-encoder reranker. It examines whether gains attributed to these techniques hold across varied collections that are closer to production data.
For a company, the practical response is to test these strategies against its own queries and documents, including varied formats, and monitor answer quality and consistency. An implementation could compare retrieval configurations, record metrics, and present results in a dashboard to guide decisions before changing a production RAG workflow.
How the consultancy can help
Wendelmaques can diagnose a RAG workflow and its retrieval risks, define an evaluation scope using representative data, and implement and operate the required tests, instrumentation, and dashboards.
Next step
Send a short description of your RAG case to receive a scoped proposal for diagnosis and implementation.
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