Viewing profile — andre-z

What do I say? Happy to talk about "fakes". Here is my calendar. Feel free to book a slot. https://qdrant.to/andre-z

FAISS is not suitable for production. The dedicated vector search solutions solve all the issues you mentioned: you just store the metadata along with vectors in JSON format. At le…

miniCOIL is a contextualized per-word embedding model. It generates extremely small embeddings (8dim or even 4dim) while still preserving the word's context for each word in a sent…

"Slowness can arise from a misconfigured index or if filterable attributes aren't listed." ;)

Qdrant runs on Linux/Mac/Windows and on x86/ARM processors

Any dense embedding model can become a late interaction model.

Qdrant lib project https://github.com/tyrchen/qdrant-lib , Qdrant SDK has also support for local mode, which means embeddable https://github.com/qdrant/qdrant-client Or just use FA…

The only other Repository is a fork of Qdrant.

I can answer how it would be in Qdrant if interested. The index will take around 70GB RAM. New vectors are first placed in a non-indexed segment and are immediately available for s…

Qdrant | Open Source Vector DB | Full-time | Remote/Berlin | https://qdrant.com Hiring SRE, DevOps, Cloud Engineers, Rust Developers, and more. https://qdrant.join.com

Thanks for your trust. :)

Yes. This makes sense. There is no criticism of Google at all. We just want to continue supporting contributors.

Sorry, my bad. Was partially copied from Linkedin, where I post most of the content. No idea behind. The emojis are from here https://qdrant.to/gsoc24

Did you look a bit deeper? Qdrant is written in Rust from scratch. The project is over three years old and started long before the "gold rush." :) Run it wherever you want, in your…

This is not a reason. We participated successfully last year and even hired one of the guys afterward.