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 > > --------------------------------------------------------------------- > To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org > For additional commands, e-mail: java-user-h...@lucene.apache.org > --------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
