Do you anticipate that the vector engine would be changed in a way that
fundamentally precluded larger vectors (intentionally)? I would think that
the ability to support larger vectors should be a key criteria for any
changes to be made. Certainly if there are optimizations to be had at
specific si
I did track down a weird bug I was seeing to our cosine similarity
returning NaN with high dimension vectors. Fix is here:
https://github.com/apache/lucene/pull/12281
On Tue, May 9, 2023 at 12:15 PM Jonathan Ellis wrote:
> I'm adding Lucene HNSW to Cassandra for vector search. One of my test
>
Thanks Ishan, turns out the error was between chair and keyboard - I’d told the
wizard to use the gradle java plugin to sign things when I should have been
using gpg.
> On 2 May 2023, at 14:19, Ishan Chattopadhyaya
> wrote:
>
> Don't remember the specifics, but I ran into GPG issues during So
The Lucene PMC is pleased to announce the release of Apache Lucene 9.6.0.
Apache Lucene is a high-performance, full-featured search engine library
written entirely in Java. It is a technology suitable for nearly any
application that requires structured search, full-text search, faceting,
neares
*Proposed option:* Move the max dimension limit lower level to a HNSW
specific implementation. Once there, this limit would not bind any other
potential vector engine alternative/evolution.
*Motivation:* There seem to be contradictory performance interpretations
about the current HNSW implementati
