I'm really glad Alessandro has been explicit about the challenges around
developing open source software such as Solr.
Simply put, there is lots of work and not enough people able or willing
to do it. At my previous company Flax we funded a lot of Lucene/Solr
development over the years, and Op
Are you a Lucene or a Solr user?
I assumed the latter.
In Apache Solr It's not only not released yet, it's not implemented yet.
There's no official roadmap in Apache Solr no there's no release date for
that functionality.
That feature is among the ones I and my company want to contribute but we
l
Hi,
What Mikhail mentioned is the answer to all my questions but sadly it is
not released yet. Is there any way I can use this unreleased version for
now or when it is going to be released ?
and yes I want to rescore all topK results based on recency.
Regards,
Iram Tariq | Software Architect
Hi Iram, following up on Mikhail's answer:
1) K Nearest Neighbour is a retrieval approach intended to look for the
closest(approximate) K vectors to a query one.
"override the existing function or write a
custom method to give a high score to the latest documents"
It seems suspicious to me.
It's
Hello Iram.
The latter one was recently added into Lucene "all vectors within a radius"
https://github.com/apache/lucene/pull/12679
Regarding the former, I suppose it can be achieved with reranking.
On Tue, Dec 26, 2023 at 1:56 AM Iram Tariq
wrote:
> Hi All,
>
> Right now I am using the cosine s
Hi All,
Right now I am using the cosine similarity function for dense vectors.
Is there any way I can override the existing function or write a
custom method to give a high score to the latest documents.
Also KNN Query Parser returns topK results matched with the input, but is
there anyway possi
