Thanks for your feedback!
I really do not know enough, so it is good to hear different opinions
and I will try to understand better.
But anyway, I see it positive in the sense, that one way or the other,
one can learn from each other hopefully :-)
Am 01.10.22 um 14:41 schrieb Michael Sokolov:
I'd agree with the main point re: the need to combine vector-based
matching with term-based matching.
As for the comparison with Lucene, I'd say it's a shallow and biased
take. The main argument is that Vespa's mutable in-memory(?) data
structures are superior to Lucene's immutable on-disk segments. While
it is true that Lucene's approach leads to slower searches when there
are more segments, especially for vector searches, the immutability
property provides other well-understood benefits. TBH I don't know
enough about Vespa to make any meaningful comparison, but every choice
is a compromise. We've known for centuries that "Odyous of olde been
comparisonis, And of comparisonis engendyrd is haterede."
On Sat, Oct 1, 2022 at 7:18 AM Michael Wechner
<michael.wech...@wyona.com> wrote:
Hi Together
I just read the following article, where the author compares Lucene and
Vespa re HSWN
https://bergum.medium.com/will-new-vector-databases-dislodge-traditional-search-engines-b4fdb398fb43
What is your take on "comparing Lucene and Vespa re HSWN latency and
recall"?
Thanks
Michael
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