RT @JinaAI_: 2025 could be the year of Deep(Re)Search. Test-time compute and reasoning model are transforming search systems now. With <thi….

RT @bo_wangbo: Great work from MMTEB team! We have 3 contributors from @JinaAI_ ! @michael_g_u @jupyterjazz @isabelle_mohr.

What do you want to know?.

RT @michael_g_u: Our submission to ECIR 2025 on jina-embeddings-v3 has been accepted! 🎉.At the ECIR Industry Day @jupyterjazz takes the sta….

RT @avthars: Stop paying the OpenAI tax. The best AI devtools are actually open-source, free to use, and give you full control over your da….

I'm excited to attend @weaviate_io's AI Hack Night tonight!🚀#hacknightberlin.

RT @bo_wangbo: Join our next ML reading group featuring VisRAG on Nov 29th:.

RT @michael_g_u: We extended our priprint about late chunking, a novel method to make embeddings of chunks context-aware. We added:.- Algor….

Want to learn more about Embeddings, Rerankers and ColBERT? Come to my talk on Thursday at @qdrant_engine's Vector Space Event 😎 more info here ->

RT @sonam_pankaj_: With @isabelle_mohr at #bbuzz. Thank you for being there for my session. 💙

RT @bo_wangbo: Got my Weaviate👕 here ;) thanks @femke_plantinga and @philipvollet !. This afternoon my colleague @isabelle_mohr and @saahil….

RT @jupyterjazz: Clip your schedules for next week because Andreas and I will present our latest text&image embedding model with advanced t….

This week I explored chunking methods: the Semantic Chunker from @llama_index on jinaai/wikisections dataset on Hugging Face. Varying the buffer size had pretty much no effect, while increasing the breakpoint percentile threshold increased chunking precision by a lot! @JinaAI_

Last night I had the pleasure of giving a talk together with @jupyterjazz at the Data Meetup Berlin hosted by Netlight! Love the knowledge sharing, and most importantly, to connect with so many passionate and interested people in the field. See you at the next one!. #embeddings

I'll be giving a talk together with @jupyterjazz next week in Berlin about our German-English bilingual embedding model. If you wanna know how we trained this model and how to use it in a RAG pipeline, you better RSVP and attend! See ya there 🚀.@JinaAI_.

RT @bo_wangbo: A ColBERT variant, but support a bit longer context :). cc @jobergum @lateinteraction @bclavie.

RT @bclavie: Saw @JinaAI_'s excellent long context (8192!) ColBERT earlier today? Eager to give long-document ColBERT a shot?. New joint🫅co….

RT @bo_wangbo: @JinaAI_ embeddings now supported by sbert 2.3.0 :)

RT @xenovacom: A few days ago, @JinaAI_ released two new bilingual embedding models (German-English & Chinese-English), each supporting a m….

RT @bo_wangbo: We’re finally here with 2 new models, we call it bilingual embedding models, it allows you to perform monolingual and cross-….

RT @michael_g_u: Our German-English and Chinese English embedding models are open-source now 🚀..