webcoderz commented on issue #1121: URL: https://github.com/apache/age/issues/1121#issuecomment-3738906038
> [@webcoderz](https://github.com/webcoderz) am I right in interpreting that this only work woth 3-dimension vectors? Or does it it support N-mrnsional vectors? > > In ML, AI and Gen AI, vectors sizes are usualy in the order of tihousands dimension. For example,thr LLMs embedding vectors are in the order of 1500+ dimensions for smaller model, or 3000+ dimensions for larger models. > > If this method works with N-domensional vectors, it would be a great addition to the Apache AGE project and its community. And maybe it finally opens up the portunity to use AGE as graph database for both of my startups. > > We are looking for an OSS graph database that can de as competitive as Neo4j a GraphDB and AWS Neptune, but thus far ageT was the closest databe to what we need, but the lack of ways for using vectors and vector embeddings is the only thing that is a d ql breaker for us. We already use pgvector as our vectorstore so integrating it with AGE would be the best case a scenario. Specialy if we eventually manage to generate graph embeddings using AGE ans pgvector. > > King regards, this is made from the regression tests that already live in their repo from a recent PR they merged in, im using it with like 384 n_dim embeddings right now, this is just a WIP on some of the notes ive written so far about it, im also in the progress of making an ORM for it all as well, and when i write some tests and validate it more ill link it . -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
