Hi Nathan,
I noticed you implemented a closest_vector function which returns the
closest vector to a given one using the
Euclidean distance: would it make sense to change the implementation in
order to include also different distance
definitions rather than the Euclidean one (for instance, cosine
Hi Jonathan,
On 5/26/23 3:38 PM, Jonathan S. Katz wrote:
> On 4/26/23 9:31 AM, Giuseppe Broccolo wrote:
> > We finally opted for ElasticSearch as search engine, considering that it
> > was providing what we needed:
> >
> > * support to store dense vectors
> > * support for kNN searches (last ver
On 4/26/23 9:31 AM, Giuseppe Broccolo wrote:
Hi Nathan,
I find the patches really interesting. Personally, as Data/MLOps
Engineer, I'm involved in a project where we use embedding techniques to
generate vectors from documents, and use clustering and kNN searches to
find similar documents basi
On 5/25/23 1:48 PM, Oliver Rice wrote:
A nice side effect of using the float8[] to represent vectors is that it
allows for vectors of different sizes to coexist in the same column.
We most frequently see (pgvector) vector columns being used for storing
ML embeddings. Given that different mode
Hi,
On 4/21/23 8:07 PM, Nathan Bossart wrote:
Attached is a proof-of-concept/work-in-progress patch set that adds
functions for "vectors" repreѕented with one-dimensional float8 arrays.
These functions may be used in a variety of applications, but I am
proposing them with the AI/ML use-cases in
Hi Nathan,
A nice side effect of using the float8[] to represent vectors is that it allows
for vectors of different sizes to coexist in the same column.
We most frequently see (pgvector) vector columns being used for storing ML
embeddings. Given that different models produce embeddings with a d
Hi Nathan,
I find the patches really interesting. Personally, as Data/MLOps Engineer,
I'm involved in a project where we use embedding techniques to generate
vectors from documents, and use clustering and kNN searches to find similar
documents basing on spatial neighbourhood of generated vectors.
Attached is a proof-of-concept/work-in-progress patch set that adds
functions for "vectors" repreѕented with one-dimensional float8 arrays.
These functions may be used in a variety of applications, but I am
proposing them with the AI/ML use-cases in mind. I am posting this early
in the v17 cycle i
