Alyka

4 ms·

1.
Qdrant v0.11: fully scalable vector search engine(github.com)
4 points by Alyka 4y ago|1 comments
2.
by Alyka 4y ago
A new release of Qdrant vector search engine went live! Version 0.11 brings the replication, making Qdrant fully scalable! There is a new administration API and exact search support, but also some more improvements. 0.11 is backwards compat
3.
by Alyka 4y ago
ahh... lucky Australia))
4.
by Alyka 4y ago
Finally! I wish other domains do the same
5.
Integration of Qdrant ANN vector database back end with txtai(github.com)
2 points by Alyka 4y ago|1 comments
6.
by Alyka 4y ago
Qdrant has implemented https://github.com/qdrant/qdrant-txtai , a library making it easy to combine both tools together
7.
by Alyka 4y ago
There are still other options available :) For example, Qdrant vector search engine. It's written in Rust, and it's not about crypto. And currently they are hiring Rust developer. Check job openings in LinkedIn
8.
by Alyka 4y ago
A case study on how to simply create a search system with txtai, Qdrant and pretrained language models. The cool thing about the semantic search is that none of the words used in a query has to be used in any document in our dataset, as the
9.
Building a Semantic Search System(lukawskikacper.medium.com)
4 points by Alyka 4y ago|1 comments
10.
by Alyka 4y ago
Scary tendency. Was interesting to read
11.
Storing Multiple Vectors per Object(blog.qdrant.tech)
2 points by Alyka 4y ago|1 comments
12.
by Alyka 4y ago
Qdrant 0.10 is the first version supporting storing multiple vectors per object. Kacper Łukawski shared how to set it up.
13.
by Alyka 4y ago
Because, solo traveling is a pretty good experience when you don't need to wait for smb if you want to travel (totally agree with it btw). And disaster is not about solo traveling.
14.
by Alyka 4y ago
The topic is interesting. But there way too many books and articles about it
15.
by Alyka 4y ago
I'd say that title is completely opposite to the article. But it was interesting to read)
16.
Batch vector search – multiple vectors(blog.qdrant.tech)
6 points by Alyka 4y ago|1 comments
17.
by Alyka 4y ago
The latest release of Qdrant 0.10.0 has introduced a lot of functionalities that simplify some common tasks. Those new possibilities come with some slightly modified interfaces of the client library. One of the recently introduced features
18.
ARM architecture for vector search engine(blog.qdrant.tech)
3 points by Alyka 4y ago|1 comments
19.
by Alyka 4y ago
Qdrant 0.10 supports ARM architecture out of the box! If you use Apple M1 or were wondering about using ARM processors in the cloud, you no longer need to emulate an x86 Docker image.
20.
Show HN: Number of layers for efficient fine-tuning. Experiments(qdrant.tech)
2 points by Alyka 4y ago|0 comments
21.
Vector search engine with dynamic cluster scaling capabilities(github.com)
2 points by Alyka 4y ago|1 comments
22.
by Alyka 4y ago
Qdrant has released the new version vector similarity search engine - v.0.9.0. It features the dynamic cluster scaling capabilities. Now Qdrant is more flexible with cluster deployment, allowing to move shards between nodes and remove nodes
23.
Qdrant vector search engine v0.9.0 update went live(github.com)
2 points by Alyka 4y ago|1 comments
24.
by Alyka 4y ago
Qdrant has released the new version vector similarity search engine - v.0.9.0. It features the dynamic cluster scaling capabilities. Now Qdrant is more flexible with cluster deployment, allowing to move shards between nodes and remove nodes
25.
by Alyka 4y ago
Andrey Vasnetsov, CTO at #Qdrant will speak about #VectorSearch and applications at #LearnNLP academy. 5.08.2022, at 15.00 CEST
26.
Qdrant: Open-Source Vector Similarity Search Engine(qdrant.tech)
2 points by Alyka 4y ago|0 comments
27.
Show HN: Finding errors in datasets with Similarity Search(qdrant.tech)
3 points by Alyka 4y ago|0 comments
28.
Distributed approximate nearest neighbours with Qdrant(youtube.com)
1 points by Alyka 4y ago|1 comments
29.
by Alyka 4y ago
Qdrant 0.8.x has introduced an experiment distributed mode. This tutorial covers the basics of running the Qdrant cluster with docker-compose.
30.
by Alyka 4y ago
But what is the point using another tag manager? All this advantages are true, but you can have them with google tag manager

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