I have 3 free tickets to the Vector Space Day conference from @qdrant_engine
Want to win one?
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Winners selected randomly. Results on Friday
Good luck ๐
More info ๐ https://t.co/jMr6CLXfsS
๐ Save the date! Join us for the first live ๐๐๐๐ญ๐จ๐ซ ๐๐ฉ๐๐๐ ๐๐๐ฒ conference on Sept 26 in ๐๐๐ซ๐ฅ๐ข๐ง! ๐ Weโll dive into Vectors, Search, LLMs & AI magic. Expect talks, workshops & an ๐ After Party with DJ! ๐ถ Grab limited tickets here: https://t.co/NaCxAPeEox ๐๏ธ
Want to speak? Apply: https://t.co/GPT8pCvRhs ๐ข More info: https://t.co/NQHWYObaE5. For partnerships, DM me! PS: Repost with >=10 ๐ for a free ticket! ๐ฌ
I've been asked if we fear cloud hyperscalers like AWS, GCP, or Azure forking our open-source engine. I believe these times are over; they prefer partnerships. But Yandex Cloud offers Qdrant without informing us: https://t.co/Tjfr8Q1LbO.
Sberbank-Technology is building an enterprise version, while we already have it, but companies in your country can't use it.
Also, other providers offer managed Qdrant services: https://t.co/W521H4nzhz.
Does North Korea have a cloud platform? ๐คฏ
It is party time! Qdrant has been navigating the community through the Vector Space for four years already. ๐ And it's summer, and we want to take care of your clothes, too.
So, here is our official Qdrant Swag Giveaway campaign. Rules in ๐งต
Qdrant is not a Graph Database, but graphs are still the backbone of vector search technology since HNSW is a graph-based ANN algorithm. I stumbled upon an interesting white paper that evaluates twelve state-of-the-art graph-based methods on large datasets, up to 1B vectors.โคต๏ธ
Qdrant is not a Graph Database, but graphs are still the backbone of vector search technology since HNSW is a graph-based ANN algorithm. I stumbled upon an interesting white paper that evaluates twelve state-of-the-art graph-based methods on large datasets, up to 1B vectors.โคต๏ธ
For ๐ก๐จ๐ซ๐ข๐ณ๐จ๐ง๐ญ๐๐ฅ ๐ฌ๐๐๐ฅ๐๐๐ข๐ฅ๐ข๐ญ๐ฒ, sharding and consensus logic need to be built around search. https://t.co/eL0BRYTaog
For flexible ๐ฆ๐๐ฆ๐จ๐ซ๐ฒ ๐ซ๐๐ฌ๐จ๐ฎ๐ซ๐๐ ๐จ๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐๐ญ๐ข๐จ๐ง, quantization techniques need to be applied. https://t.co/NZxiuTrhuK
For a more ๐ฉ๐ซ๐๐๐ข๐ฌ๐ ๐ซ๐๐ญ๐ซ๐ข๐๐ฏ๐๐ฅ, Hybrid Search with sparse vectors can be used. https://t.co/zDdytJP8FS
For ๐ฆ๐ฎ๐ฅ๐ญ๐ข๐ญ๐๐ง๐๐ง๐๐ฒ ๐ฌ๐ฎ๐ฉ๐ฉ๐จ๐ซ๐ญ, payload-based partitioning is required. https://t.co/Ir19TfBKAj
For even more ๐๐๐๐ข๐๐ข๐๐ง๐ญ ๐ข๐ง๐๐๐ฑ๐ข๐ง๐ , GPUs can be used. https://t.co/wcczDPthy4
For combining similarity search withย domain-specific logic, a score boosting reranker can be applied. https://t.co/T7YWhqCE1x. And many, many more production-critical aspects.
@kevin_scott, Microsoft's CTO, used @qdrant_engine as the vector engine for the #NLWeb demo at the opening keynote of the annual Build Conference.
#opensource rules! ๐ ๐ฆ ๐
By popular demand, weโre excited to introduce an integration with @qdrant_engine!
Retrieval powers most AI apps today, but it's so hard to get right. From simple KNN to agentic RAG, how do you know what search strategy works best for your use case?
Enter HoneyHive + Qdrant ๐ค
In 2022, as Qdrant was in its very early stages, I virtually met @ethansteininger from MongoDB and pitched him our vector search engine written in Rust. Now, three years later, he is using @qdrant_engine for his own product, Mixpeek.
https://t.co/PeIL0KNNkS