andre-z

10 ms·

61.
by andre-z 3y ago
Hey, qdrant ceo here. Paul, you and your team are building amazing open-source tech! And, of course, you can scale (almost) anything with just more hardware. As Nirant mentioned in his Twitter response. https://twitter.com/N
62.
by andre-z 3y ago
TBH, it does not look "less complex", not at all. :) install, install, ... but where to install and run all of this? The topic is "serverless". This means you do not need to run anything, just need two cloud APIs and a L
63.
by andre-z 3y ago
Made with Qdrant Vector Database https://github.com/qdrant/qdrant Cohere embed API https://docs.cohere.com/reference/embed and AWS Lambda
64.
by andre-z 3y ago
You should just check https://nirantk.com/writing/pgvector-vs-qdrant/
65.
by andre-z 3y ago
We at Qdrant are glad to be a part of this awesome solution, providing the Vector Database resource for Danswer. https://github.com/qdrant/qdrant
66.
by andre-z 3y ago
It the oldest project, correct. Regarding popularity, 20K GitHub stars in >6 years, Qdrant 11K stars in < 2 years. https://github.com/topics/vector-database Written entirely in Rust, zero legacy.
67.
by andre-z 3y ago
Qdrant Team here. It depends on you use case. For smaller data amount and just vector similarity search you can use libraries like FAISS, ScaNN, etc. If you are looking for a simple solution without high requirements on performance and just
68.
by andre-z 3y ago
Congrats from the Qdrant team!
69.
by andre-z 3y ago
If the dataset isn't extensive, you might be able just to use an ANN library like FAISS.
70.
by andre-z 3y ago
Hi, Qdrant team here. Could you please explain why it has to be in-browser and not just start a docker locally?
71.
by andre-z 3y ago
Qdrant https://qdrant.tech | Berlin / Remote (worldwide) Qdrant is a leading open-source vector database written in Rust. We are looking for: - Cloud engineers (US timezone) - Rust Developers (We also pay for open-source co
72.
by andre-z 3y ago
Like this https://qdrant.tech/benchmarks/
73.
by andre-z 3y ago
But is isn’t open source.
74.
by andre-z 3y ago
This can be achieved with open-source solutions like Qdrant. https://github.com/qdrant/qdrant
75.
by andre-z 3y ago
You are welcome! Feel free to reach out for the early adopter discount ;)
76.
by andre-z 3y ago
Well, to work on the core of the Qdrant engine https://github.com/qdrant/qdrant you should have some db knowledge but even more important are Rust skills. However, we have also other products, like the cloud platform
77.
by andre-z 3y ago
An open-source Pinecone alternative https://github.com/qdrant/qdrant With a cloud offering along https://cloud.qdrant.io with 1GB cluster for free to try out. Disclaimer: I'm part of the team.
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Get paid for open source contribution with Rust(old.reddit.com)
36 points by andre-z 3y ago|5 comments
79.
by andre-z 3y ago
Qdrant rewards contributions on tasks marked with the “bounty” label. https://github.com/qdrant/qdrant/issues?q=label%3A%22%F0%9F%... Made possible with service https://algora.io
80.
by andre-z 3y ago
Qdrant, Remote-first, HQ in Berlin, hiring worldwide, Visa sponsorship. Qdrant is an open-source Vector Database written in Rust 🦀. Also, available as a managed cloud solution (DBaaS). https://github.com/qdrant/qdrant
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by andre-z 3y ago
You could check Qdrant, a dedicated Vector Database with advanced features. https://github.com/qdrant/qdrant Disclaimer: I'm from the Qdrant Team.
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by andre-z 3y ago
The ANN index IVF implemented in pgvector has very poor performance, with only around 50% recall. Is it a good enough reason, or you don't care about results accuracy in favor of the comfort of using a multitool? You can do everything
83.
by andre-z 4y ago
You can also read answer from this thread https://news.ycombinator.com/item?id=35495343
84.
by andre-z 4y ago
Thanks for mentioning Qdrant. https://github.com/qdrant/qdrant
85.
by andre-z 4y ago
You can do everything with PostGres: Full-text search, but there are better engines for it: Elastic, Meilisearch, etc. right? You can also store JSON into Postgres, but you should better use MongoDB for NoSQL purposes, right? The reason for
86.
by andre-z 4y ago
Qdrant | Full-time, 100% Remote OR Hybrid in Berlin | DevOps, DevRels, etc. https://qdrant.to/jobs Open-Source and Cloud Vector Search Technology
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by andre-z 4y ago
Great move! Congrats to the deepset team! Glad there is now a Qdrant integration in place to power large-scale vector search needs.
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by andre-z 4y ago
For small startups is better just to utilize a managed solution like Pinecone or Qdrant and do not take about infra at all.
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by andre-z 4y ago
Qdrant also offers a 1GB free tier https://cloud.qdrant.io
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by andre-z 4y ago
Another showcase video https://www.youtube.com/watch?v=gYaQBLLQri8

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