andre-z

17 ms·

1.
by andre-z 8mo ago
What do I say? Happy to talk about "fakes". Here is my calendar. Feel free to book a slot. https://qdrant.to/andre-z
2.
by andre-z 10mo ago
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 least, with Qdrant, it works like this: https://qdr
3.
by andre-z 1y ago
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 sentence. GitHub https://github.com/qdrant&
4.
by andre-z 1y ago
"Slowness can arise from a misconfigured index or if filterable attributes aren't listed." ;)
5.
by andre-z 2y ago
Qdrant runs on Linux/Mac/Windows and on x86/ARM processors
6.
Immutable Data Structures in Qdrant(qdrant.tech)
46 points by andre-z 2y ago|13 comments
7.
by andre-z 2y ago
Any dense embedding model can become a late interaction model.
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Optimize LLM resource usage with Semantic Cache [video](youtube.com)
1 points by andre-z 2y ago|0 comments
9.
Hardware is the new vendor lock-in(qdrant.tech)
2 points by andre-z 2y ago|0 comments
10.
by andre-z 2y ago
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 FAISS https:/
11.
by andre-z 3y ago
The only other Repository is a fork of Qdrant.
12.
Databases? Just use files instead(old.reddit.com)
3 points by andre-z 3y ago|0 comments
13.
by andre-z 3y ago
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 search while the index is being built. The vectors and the in
14.
by andre-z 3y ago
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
15.
RAG is dead Long live RAG(qdrant.tech)
2 points by andre-z 3y ago|0 comments
16.
by andre-z 3y ago
Thanks for your trust. :)
17.
by andre-z 3y ago
Yes. This makes sense. There is no criticism of Google at all. We just want to continue supporting contributors.
18.
by andre-z 3y ago
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
19.
by andre-z 3y ago
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 data center, locally, with no limitations. htt
20.
by andre-z 3y ago
This is not a reason. We participated successfully last year and even hired one of the guys afterward.
21.
We were not accepted into Google Summer of Code. So, we started our own(qdrant.tech)
146 points by andre-z 3y ago|46 comments
22.
by andre-z 3y ago
Qdrant | Open Source Vector DB | Remote | Full-time | https://qdrant.tech SRE, Engineering Manager, DevOps, Cloud Engineer, Support Engineer, Rust Core Engineer (contribute first approach) All positions: https://qdran
23.
by andre-z 3y ago
Welcome to add on our Discord to #built with qdrant channel. https://qdrant.to/discord
24.
by andre-z 3y ago
The open-source benchmarks show different results. Feel free to make a PR to improve. ;) https://qdrant.tech/benchmarks/
25.
by andre-z 3y ago
Thanks. We will reveal our hiring strategy in more details soon.
26.
by andre-z 3y ago
These are the major ones, correct.
27.
by andre-z 3y ago
Does this count? https://testimonial.to/qdrant/all
28.
by andre-z 3y ago
You should use whatever works best for you unless you face some limitations. The issue is that vector databases are not databases but search engines. It is ACID vs BASE. A few thoughts on this https://qdrant.tech/articles&
29.
by andre-z 3y ago
Many: https://testimonial.to/qdrant/all https://techcrunch.com/2024/01/23/qdrant-open-source-vector-...
30.
by andre-z 3y ago
Qdrant as a library project https://github.com/tyrchen/qdrant-lib

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