Viewing profile — cyrusthegreat

Tiny wooden boxes.

This is awesome! Permanently bookmarked!

Hey! We're actually polishing up a PR that'll add documentation and finalize the versioning API, it should be merged in this weekend. Would you be up for a quick chat with someone …

This is in the works! We'd love you feedback on the API and to learn a bit more about your use-case so we build the right thing, mind joining our slack? https://join.slack.com/t/fe…

You are both right. I just realized this and would be embarrassed if I wasn’t laughing so hard. I gave an original drawing to our designer with the correct values and we didn’t ins…

Our API is built from the ground up with the machine learning workflow in mind. For example, we have a training API that allows you to batch requests and even download your embeddi…

Yes! We plan to bring Faiss in and utilize a lot of its functionality, our goal for this release was to get an end-to-end working to get feedback on the API. HNSW was a good defaul…

Pinecone is closed source and only available as a SaaS service. Milvus and us have more overlap, we’re focused on the embeddings workflow like versioning and using embedding with o…

Gensim is great for generating certain types of embeddings, but not for operationalizing them. It doesn’t do approximate nearest neighbor lookup which is a deal breaker for most mo…

Thanks for the kind words! We'd love to get your feedback as we iterate. Please join our slack community: https://join.slack.com/t/featureform-community/shared_invite...

We actually use HNSWLIB by NMSLIB on the backend. NMSLIB is solving the approximate nearest neighbor problem, not the storage problem. It’s not a database, it’s an index. We handle…

Not yet, this is very much an early release to get it in people's hands and to get feedback on the API and the functionality. We've purposely held off optimizing too much until we …

Faiss actually also uses HNSW internally, HNSWLIB is just a lighter weight implementation which allowed us to iterate faster. In the future we will switch it back out for FAISS to …

We're so glad to hear that! We'd love your feedback as we keep building. Please join our community on Slack: https://join.slack.com/t/featureform-community/shared_invite...

We use HNSW internally via HNSWLIB, it's the same algorithm that Facebook uses to power their embedding search.

Hi everyone! Over the years, I've found myself building hacky solutions to serve and manage my embeddings. I’m excited to share Embeddinghub, an open-source vector database for ML …