AI dictionary · LLMs and GenAI

What is Reranking?Reranking kya hai?

Also called: Reranker, cross encoder

Reranking: A second step in search that re-scores the top results more accurately.Search ka doosra step jo top results ko zyaada accurately dobara score karta hai.

🧸 Think of it likeAise samjho

Like shortlisting 50 job applicants quickly, then interviewing them carefully to pick the best 5.Jaise 50 applicants ko jaldi shortlist karna, phir dhyaan se interview karke best 5 chunna.

📘 ExplainedVistaar se

First retrieval quickly finds, say, 50 candidates; a reranker model reads the question and each candidate together and orders them by true relevance, keeping the best few for the LLM. It adds some latency but usually improves RAG answers a lot.Pehla retrieval jaldi, maan lo, 50 candidates dhoondhta hai; reranker model sawaal aur har candidate ko saath padh kar asli relevance se order karta hai, aur LLM ke liye kuch best rakhta hai. Thodi latency judti hai par aksar RAG jawaab kaafi behtar hote hain.

💡 Real exampleAsli example

Reordering 50 search hits so the exact policy clause moves from position 12 to position 1.50 search hits ko aise reorder karna ki exact policy clause position 12 se 1 pe aa jaaye.

📖 Learn it step by stepStep by step seekho

🔗 Related termsJude hue shabd

Questions people ask

What is Reranking?

A second step in search that re-scores the top results more accurately. First retrieval quickly finds, say, 50 candidates; a reranker model reads the question and each candidate together and orders them by true relevance, keeping the best few for the LLM. It adds some latency but usually improves RAG answers a lot.

How can I understand Reranking in simple words?

Like shortlisting 50 job applicants quickly, then interviewing them carefully to pick the best 5.

What is an example of Reranking?

Reordering 50 search hits so the exact policy clause moves from position 12 to position 1.

Reranking ka matlab kya hai?

Search ka doosra step jo top results ko zyaada accurately dobara score karta hai. Jaise 50 applicants ko jaldi shortlist karna, phir dhyaan se interview karke best 5 chunna.

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