My testing shows Lucene's HNSW in a very positive light. The ability to
perform blended searches (vector/semantic and text) is valuable, even with
high quality embeddings, and helps when the searcher's intent is to search
for specific words or phrases (such as a name, or exact concepts) which get
Stefan, Mike,
Appreciate your responses! I spent some time analyzing your inputs and
going further down the rabbit hole.
Stefan,
I looked at the IndexRearranger code you referenced where it tries to drop
the segment. I see that it eventually gets handled via
IndexFileDeleter.checkpoint() through
Hi Rahul,
Please do not pursue Approach 2 :) ReadersAndUpdates.release is not
something the application should be calling. This path can only lead to
pain.
It sounds to me like something in Solr is holding an old reader (maybe the
last commit point, or reader prior to the refresh after you
Thanks Michael, very interesting! I of course agree that Lucene is all you
need, heh ;)
Jimmy Lin also tweeted about the strength of Lucene's HNSW:
https://twitter.com/lintool/status/1681333664431460353?s=20
Mike McCandless
http://blog.mikemccandless.com
On Thu, Aug 31, 2023 at 3:31 AM
Hi Together
You might be interesed in this paper / article
https://arxiv.org/abs/2308.14963
Thanks
Michael
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