My talk from #NDCLondon is now available on YouTube! 🇬🇧
http://youtube.com/watch?v=N2kn4UybFBI&list=PLPFMHjhoDntsPHFHTN1d4H-U3G8zRlJ-p&index=1&t=9s
@OpenSearchProject @linuxfoundation
#vectorDB #OpenSearch #opensource #search #GenAI #OpenSearchAmbassador
Stoked seeing the OpenSearch Project featured by Jensen Huang on #NVIDIA #GTC keynote! 😍
One of the innovations in #OpenSearch V3 has been adding GPU acceleration based on NVIDIA's cuVS. Our #VectorSearch benchmarks, using CAGRA algorithm integrated through Facebook's Faiss library, showed:
✅ 9.3x faster index builds
✅ 3.75x lower cost
✅ 2x higher throughput
✅ 2.5x lower CPU usage
https://www.linkedin.com/feed/update/urn:li:activity:7439600547852189697/
#OpenSearchAmbassador #opensource #gtc2026 #gtc26 #cuvs #vectordb
Stoked seeing the OpenSearch Project featured by Jensen Huang on NVIDIA #GTC keynote! 😍 One of the innovations in #OpenSearch V3 has been adding GPU acceleration based on #NVIDIA's cuVS. Our benchmarks, using CAGRA algorithm integrated through Facebook's Faiss library, showed: ✅ 9.3x faster index builds ✅ 3.75x lower cost ✅ 2x higher throughput ✅ 2.5x lower CPU usage That's the power of bringing the best of #opensource in vector search together. Check out the comments for the full benchmark setup and results, and more details on the architecture, as well as the RFC on GitHub. Well done to Navneet Verma Corey Nolet Kshitiz G. Dylan Tong Nathan Stephens Vamshi Vijay Nakkirtha and all involved! #OpenSearchAmbassador #VectorSearch
Chunking: an essential concept to understand for Retrieval-Augmented Generation (#RAG). It is the process of dividing large documents into smaller, manageable segments called “chunks.” Effective chunking preserves semantic meaning while ensuring content fits within model context limits.
Proper chunking is essential, as it directly affects retrieval quality. Well-structured chunks improve precision and support more accurate responses.
Can't wait to to have a great ride at #JavaLand ! 🇩🇪
#OpenSearch sucht nicht mehr nach Wörtern, sondern nach Bedeutungen. 🔍
If you're there and want to learn about #vectorDB search and about the @OpenSearchProject, check out my talk 🙂
See you 11th March in @JavaLandConf 🎡
🔸Agenda: https://meine.doag.org/events/javaland/2026/agenda/#agendaId.6918
🔸Tickets: https://www.javaland.eu/
Abhishek Yadav (@abhishek__AI)
알리바바(Alibaba)가 발표한 Zvec라는 임베디드 벡터 DB 소개 트윗입니다. 서버 배포 불필요, 수십억 벡터를 밀리초 단위로 처리, dense/sparse/hybrid 지원, 노트북·서버·엣지에서 실행 가능하고 RAG(검색 기반 생성) 운영에 적합하며 100% 오픈소스로 제공된다고 설명합니다.
This might be the cleanest way to ship RAG in production Zvec by alibaba, a lightning fast embedded Vector DB that runs wherever your code runs. → No server deployment → Billions of vectors in ms → Dense + sparse + hybrid → Runs on laptop, server, edge 100% Open source 👇
Unwind AI (@unwind_ai_)
중국의 알리바바가 벡터 데이터베이스의 'SQLite'라고 불린 zvec을 오픈소스로 공개했습니다. zvec은 앱 내부에서 라이브러리로 동작하며 온디바이스 RAG를 목표로 외부 서버나 Pinecone·Qdrant 인스턴스 없이 작동하도록 설계되었고, 100% 오픈소스입니다.
🌲 Pinecone Serverless réinvente la mémoire IA.
Votre infrastructure vectorielle est-elle prête à passer à l'échelle sans vous ruiner ?
#KingLand #IA #Pinecone #Serverless #RAG #TechTrends #Cloud #Data #VectorDB #Innovation
✨ Fiche Impact : https://kingland.fr/pinecone-serverless-linfrastructure-rag-par-defaut-en-2026/
Parce qu’avec l'inflation des tokens, payer à l'usage vaut mieux que financer le vide.
Le RAG s'impose comme la colonne vertébrale des applications…
Dotan Horovits #CNCFAmbassador
pgEdge Postgres
Xavier Mareca
sayzard
KingLand