Vector re-ranking

which is mere 2% percentage points less than the 32-bit index. Does Lucene support the coarse search with re-ranking? If yes, what is the API? Viliam

Re: Re-ranking using cross-encoder after vector search (bi-encoder)

to integrate vector search. On Fri, Feb 10, 2023 at 10:21 AM Michael Wechner wrote: Hi I use the vector search of Lucene, whereas the embeddings I get from SentenceBERT for example. According to https://www.sbert.net/examples/applications/retrieve_rerank/README.html a re-ranking with

Re: Re-ranking using cross-encoder after vector search (bi-encoder)

> https://www.sbert.net/examples/applications/retrieve_rerank/README.html > > a re-ranking with a cross-encoder after the vector search (bi-encoding) > can improve the ranking. > > Would it make sense to add this kind of functionality to Lucene or is > somebody already working

Re-ranking using cross-encoder after vector search (bi-encoder)

Hi I use the vector search of Lucene, whereas the embeddings I get from SentenceBERT for example. According to https://www.sbert.net/examples/applications/retrieve_rerank/README.html a re-ranking with a cross-encoder after the vector search (bi-encoding) can improve the ranking. Would it

RE: Ranking Function based on Probabilistic Retrieval Framework

Hi, Lucene 4 has this already: e.g. to enable BM25 ranking use the following Similarity implementation and set it on IndexWriter and IndexSearcher: http://lucene.apache.org/core/4_7_1/core/org/apache/lucene/search/similarities/BM25Similarity.html The full list is here and documentation is here:

Re: Ranking Function based on Probabilistic Retrieval Framework

Hi Prakash, Have you seed Robert's write up? http://java.dzone.com/news/flexible-ranking-lucene-4 Ahmet On Thursday, April 3, 2014 2:30 PM, Prakash Dubey wrote: Dear all, Why there is no Ranking function based on Probabilistic Retrieval Framework

Re: Ranking docs with all terms higher

: java-user@lucene.apache.org Sent: Thu, 19 May, 2011 14:36:56 Subject: Re: Ranking docs with all terms higher A little test shows that Mike is correct and lucene does already do this. With norms (default) nacho foo bar, score=0.8660254 foo bar bar, score=0.46461558 nacho nacho nacho nacho, score

Re: Ranking docs with all terms higher

A little test shows that Mike is correct and lucene does already do this. With norms (default) nacho foo bar, score=0.8660254 foo bar bar, score=0.46461558 nacho nacho nacho nacho, score=0.19245009 Without norms nacho foo bar, score=1.7320508 foo bar bar, score=0.92923117 nacho nacho nacho

Re: Ranking docs with all terms higher

I believe Lucene already does this, with the 'coord' factor in BooleanQuery, which is on by default (ie, if you just "new BooleanQuery()"). Ie your doc c will get a coord factor of 1.0, doc b gets 0.666..., doc a gets 0.. That said, if the term freq is high enough (ie doc a has nacho 4 times)

Re: re-ranking ....

fetch all the search results along with their corresponding values for all the terms used for scoring and then you use those values and play-around with them and re-rank your results to your hearts content/wish. --kk On Wed, Jul 15, 2009 at 11:28 AM, henok sahilu wrote: > what i want to do is re

re-ranking ....

what i want to do is re-rank the lucene result set based on my algorithm that i will write. i have some rules and based on these rules i want lucene result set be reordered. thanks

Re: re-ranking lucene results

How would you like to re-rank? Simple sorting can be handled through the Sort capability, other re-ranking is going to depend on what you want to do. On Jul 14, 2009, at 1:00 PM, henok sahilu wrote: hello there i want to re-rank the lucene result set.in other words i want to re - order

re-ranking lucene results

hello there i want to re-rank the lucene result set.in other words i want to re -order the documents contained in Hits object. can anyone tell me where to start. thanks

Re: Seeking suggestion on results re-ranking methodology

cene.apache.org > > Sent: Friday, June 13, 2008 11:47:26 AM > > Subject: Seeking suggestion on results re-ranking methodology > > > > Dear all, > > > > I would like to seek your suggestion on re-ranking methodology. My > > problem is that I have a se

Re: Seeking suggestion on results re-ranking methodology

t; Sent: Friday, June 13, 2008 11:47:26 AM > Subject: Seeking suggestion on results re-ranking methodology > > Dear all, > > I would like to seek your suggestion on re-ranking methodology. My > problem is that I have a set of resulting documents to a query and > each one of t

Seeking suggestion on results re-ranking methodology

Dear all, I would like to seek your suggestion on re-ranking methodology. My problem is that I have a set of resulting documents to a query and each one of them with a matching score and also a list of relatedness score between each two of them. I would like to re-rank my resulting documents by

RE: ranking/scoring algorithm in details

http://lucene.apache.org/java/docs/scoring.html (which you can also find by googling "lucene scoring") -Original Message- From: Jong Kim [mailto:[EMAIL PROTECTED] Sent: Wednesday, February 28, 2007 2:21 PM To: java-user@lucene.apache.org Subject: ranking/scoring algorithm in details Hi,

Re: ranking / scoring by field which contains a given rank?

I'm puzzled why you don't index a salesrank when you build your index and use Lucene's built-in sorting to sort them at query time. This probably means that I didn't read your e-mail carefully enough, but... If salesrank is something that you can pre-calculate and put in your index, this should fi