Think you need a better reranker? Check your retrieval first.
You built a search system using the latest, greatest models, and maybe you were thrilled with the outcome. But what The post Think you need a better reranker? Check your retrieval first. appeared first on The New Stack .
Your search system might have been powered by the latest models, and you could have been delighted with the results. However, if those results were less than perfect, your initial reaction might be to allocate more time and resources to improving the reranker. You might have thought, "We just need a better way to prioritize the best result."
While that could be true, there might be a more efficient approach. Investing heavily in reranking can be costly and increase latency, as your system goes through numerous candidate results. Moreover, if the reranker hasn't been exposed to good results to begin with, it cannot surface better ones. Before committing to a better reranker, it's essential to verify whether the correct results are making it to your candidate pool and assess the overall cost of reranking everything.
To explore this concept further, join Vespa.ai on October 13, where Director of Product Marketing Bonnie Chase and Senior Principal Solutions Architect Jenny Morris will discuss how to reframe your retrieval process as an efficient funnel. Register now for this webinar.
Written by urgent.news from The New Stack's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
