Precision@k
A retrieval evaluation metric that measures the proportion of relevant documents among the top k retrieved results, focusing on how many of the retrieved results are relevant.
Timeline (last 90 days)
Precision@k is defined as: the number of expected text chunks that were retrieved divided by k.
In retrieval evaluation, Recall@k is prioritized, because missing evidence leaves downstream generation with no way to recover, whereas bringing back a small amount of noisy documents can usually still be filtered out by the context window or a reranker.
All Facts (2)
Precision@k is defined as: the number of expected text chunks that were retrieved divided by k.
50%UnverifiedIn retrieval evaluation, Recall@k is prioritized, because missing evidence leaves downstream generation with no way to recover, whereas bringing back a small amount of noisy documents can usually still be filtered out by the context window or a reranker.
50%