muves

Staying current in AI research and tech is hard. Muves makes it easier.

[muves @muves_io]

If you have data stored in Muves Papers, please download it by June 17, 2026. After that date, access to the service and stored data will no longer be available.

https://t.co/RWWbtlZjia

Thank you for being part of this chapter with us.

The Muves team

[muves @muves_io]

After much thought, we've decided to shut down Muves Papers.

We're deeply grateful to everyone who used the product, shared feedback, and supported us along the way. Building for researchers, readers, and knowledge workers has been a privilege, and your trust meant a lot to us.

[Dmitry Kan @DmitryKan]

I had a very honest and thoughtful discussion with .@srchvrs about vector search and LLMs. I wish there were more conversations like this - and now we have it. Enjoy! Audio-only will drop soon to your favorite podcast platform. https://t.co/MES1P2PSgR

[muves @muves_io]

We had an opportunity to present our multilingual and multimodal search at the retail track of this year’s ValleyML AI Expo. You can find the link to the recording in our blog post.
https://t.co/dmMEZI5p5O #vectorsearch

[Dmitry Kan @DmitryKan]

First episode in Season 2 of Vector Podcast is here: https://t.co/KzcSUht4GP
recorded with .@malte_pietsch
CTO and co-founder of .@deepset_ai

Spotify: https://t.co/UA0v9JJBLv and Apple Podcasts is on its way

[Dmitry Kan @DmitryKan]

Excited to present @muves_io at ValleyML AI Expo 2022 tomorrow with @aarnetalman -- AI Retail track. Looking forward to the questions from the audience! https://t.co/EYsaSdEZ1o

[muves @muves_io]

@MercadoMagicoCa See our recent talk to learn more: https://t.co/cDZfOcTIZH

[muves @muves_io]

@MercadoMagicoCa Muves is a search application supporting multiple vector databases and back-ends. GSI APU / Searchium ai is one of these supported back-ends.

[muves @muves_io]

We just published Muves at Berlin Buzzwords 2022 https://t.co/LKO1rIyb2M

[muves @muves_io]

The talk by @aarnetalman and @DmitryKan introducing our multilingual and multimodal vector search Muves is now online https://t.co/cDZfOcC7B7

[Dmitry Kan @DmitryKan]

Blog from .@gsitechnology citing our work in multimodal multilingual search: https://t.co/7GNg90Ec90 In time for our presentation with @aarnetalman on @berlinbuzzwords

[Max Irwin @binarymax]

Watching the awesome multimodal search https://t.co/hYY052pQ1y demo by @DmitryKan and @aarnetalman at #bbuzz. 20 ANN queries in 250ms using @gsitechnology APU!

[Sease @SeaseLtd]

Great talk from @aarnetalman and @DmitryKan on how specifically designed APU hardware can make the difference in running vector based search (multi language and multi modal)

[muves @muves_io]

Come and see the talk about Muves by @aarnetalman and @DmitryKan at @berlinbuzzwords

[@[email protected] @berlinbuzzwords]

At #bbuzz 2022, @aarnetalman & @DmitryKan will introduce their end-to-end search solution Muves which combines symbolic search with multimodal & multilingual vector search & includes a fine-tuner for easy domain adaptation of pre-trained vector models. https://t.co/lhcR2GvZtv

[muves @muves_io]

@milvusio @hxiao @DmitryKan @aarnetalman @gsitechnology We are happy to join such a vibrant community 🥳

[Dmitry Kan @DmitryKan]

Happy to share the result of multi-month effort together with .@aarnetalman -- in partnership with @gsitechnology we have developed multilingual and multimodal vector search powered by GSI's hardware acceleration and @muves_io search stack. Details: https://t.co/M7yrjJyeTw

[muves @muves_io]

We partnered with @gsitechnology to develop a vector search demo that utilizes their APU backend for hardware-accelerated similarity search. In this blog post we describe the journey and how we implemented the demo using our Muves vector search stack. https://t.co/Y6JMFXKSkk

[Dmitry Kan @DmitryKan]

I’ve just released a recording of the Community Talk I did at the Search with ML course by .@gsingers and Daniel Tunkelang: 3 use cases in neural search: multilingual search with .@muves_io, image search with CLIP by @laion_ai, and Q&A with .@weaviate_io https://t.co/b9hs2j4Y8K