iitaejeong opened a new issue, #1121:
URL: https://github.com/apache/age/issues/1121
**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always
frustrated when
[...]
Vector usage is very skyrocketing now. so, market wants to handle with them
using database. but we didnt. exactly, the vectorDB has many popularity from
resource 'db-engine rank'.
**related to a problem**
but , Apache age doesn't have the function for vector engineering. so many
other person who wants to apply the vector are just using the python library
itself for supporting vector handling.
**Describe the solution**
### Extension PGvector.
```
CRETATE EXTENSION vector;
SELECT embedding <-> '[3,1,2]' AS distance FROM items;
SELECT (embedding <#> '[3,1,2]') * -1 AS inner_product FROM items;
SELECT 1 - (embedding <=> '[3,1,2]') AS cosine_similarity FROM items;
```
and also can indexing function for searching of nearest neighbor. There are
many very good functions except for the aforementioned functions.
**Additional context**
Except for above problem, we expand this feature to ML practitioner who
wants data efficient management. the overview of additional context is
compatible with Pytorch_geometric remote backend function. They builds the
class for ease to integration others database. if previous problem well solve ,
then we might do this future work.
in below reference , it has the function for convenience.
[Scaling Up GNNs via Remote Backends]
https://pytorch-geometric.readthedocs.io/en/latest/advanced/remote.html
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