Evgeniya Sukhodolskaya (@krotenwanderung) 's Twitter Profile
Evgeniya Sukhodolskaya

@krotenwanderung

Developer advocate 🥑 @qdrant_engine

ID: 1511994374284062720

linkhttps://www.linkedin.com/in/evgeniya-sukhodolskaya/ calendar_today07-04-2022 09:09:08

186 Tweet

223 Followers

646 Following

Qdrant (@qdrant_engine) 's Twitter Profile Photo

It is party time! Qdrant has been navigating the community through the Vector Space for four years already. 🎉 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 🧵

It is party time! Qdrant has been navigating the community through the Vector Space for four years already. 🎉 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 🧵
Qdrant (@qdrant_engine) 's Twitter Profile Photo

🧑‍🎓Qdrant + DataTalksClub: Free 10-week course! Learn RAG, vector search, hybrid search, evaluation, and apply your knowledge in an end-to-end project! 🚀Hands-on lessons from Qdrant’s experts Kacper Łukawski and Evgeniya Sukhodolskaya Get started 👉 qdrant.tech/blog/datatalks…

🧑‍🎓Qdrant + <a href="/DataTalksClub/">DataTalksClub</a>: 

Free 10-week course! 
Learn RAG, vector search, hybrid search, evaluation, and apply your knowledge in an end-to-end project!

🚀Hands-on lessons from Qdrant’s experts <a href="/LukawskiKacper/">Kacper Łukawski</a> and <a href="/krotenWanderung/">Evgeniya Sukhodolskaya</a> 

Get started 👉 qdrant.tech/blog/datatalks…
Tarun Jain (@trj_0751) 's Twitter Profile Photo

Evaluate and monitor your Hybrid Search RAG 🧪 tl;dr: ➡️ Shared key lessons learned while building the evaluation pipeline for RAG. ➡️ The article covers: creating evaluation datasets, human annotation, using LLM-as-a-Judge, and why choose binary evaluations over score rating

Evaluate and monitor your Hybrid Search RAG 🧪

tl;dr:
➡️ Shared key lessons learned while building the evaluation pipeline for RAG.
➡️ The article covers: creating evaluation datasets, human annotation, using LLM-as-a-Judge, and why choose binary evaluations over score rating
Evgeniya Sukhodolskaya (@krotenwanderung) 's Twitter Profile Photo

Yooo, Sparse Neural Retrieval fi-na-lly getting the attention it deserves! Kudos to Hugging Face for making this 5th version of SentenceTransformers real, I really-really want to see what the HF community will craft with this 👀👀👀 🔥 huggingface.co/blog/train-spa…

Evgeniya Sukhodolskaya (@krotenwanderung) 's Twitter Profile Photo

The week of 22–26 == the search week in #Berlin Qdrant will host a full day of workshops & talks on #vector #search & #AI at Colosseum Berlin on the 26th. Btw, it’s a Filmtheater, so we’ll all be kinda movie stars (pun heavily intended). 👀 Details: qdrant.tech/blog/vector-sp…

The week of 22–26 == the search week in #Berlin

Qdrant will host a full day of workshops &amp; talks on #vector #search &amp; #AI at Colosseum Berlin on the 26th. 
Btw, it’s a Filmtheater, so we’ll all be kinda movie stars (pun heavily intended).

👀 Details: qdrant.tech/blog/vector-sp…
Jo Kristian Bergum (@jobergum) 's Twitter Profile Photo

Quality retrieval has never come from general-purpose storage or SQL databases. Decades of search history (web, enterprise, recommendations) show that good retrieval systems are specialized, with purpose-built ranking. Storing a vector doesn’t cut it. The category ‘vector