Mastodawn

@OpenSearchProj was named a Leader and Fast Mover in the 2025 GigaOm Radar for Vector Databases 🏆

My #OpenSearch report highlights:
✅ Platform play
✅ Search variety
✅ Business criteria
✅ Security
And I'd add - it's OPEN SOURCE @linuxfoundation !!
https://opensearch.org/gigaom-radar-vector-report-2025/

#gigaom #vectorDB

Dotan Horovits #CNCFAmbassador Mar 24

ICYMI, #OpenSearch 3.5 is here! 🤩
I shared some of my personal highlights in this short clip.
Hope you enjoy the format 👍
#OpenSearchAmbassador @OpenSearchProject @linuxfoundation #observability #analytics #search #vectorDB #kubecon #kubeconEU #o11yDay

Dotan Horovits #CNCFAmbassador Mar 18

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

Vector Search Made Simple: Getting Started with OpenSearch for AI Applications - Dotan Horovits

YouTube

Dotan Horovits #CNCFAmbassador Mar 17

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

#gtc #opensearch #nvidia #opensource #opensearchambassador #vectorsearch | Dotan Horovits

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

Dotan Horovits #CNCFAmbassador Mar 10

310% throughput increase and 300% latency reduction!
Great work by the AWS #opensearch engineers with bulk SIMD brings these performance gains in @OpenSearchProject 's vector search 👏
And it's all #opensource under @linuxfoundation 🤩
https://opensearch.org/blog/accelerating-fp16-vector-search-performance-using-bulk-simd-in-opensearch-3-5/
#vectorDB #search #OpenSearchAmbassador

pgEdge Postgres Feb 23

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.

  #OpenSource #devops #vectordb #programming #vector #search

Dotan Horovits #CNCFAmbassador Feb 23

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/

Xavier Mareca Feb 20

Exploring IBM Docling: the new open-source toolkit for turning complex documents into structured data ready for #RAG and AI workflows. 📝⚡
Forget messy OCR—preserve tables, lists, formulas & layout, feeding #LangChain, #LangGraph, and other vector pipelines.
#AI #DocumentUnderstanding #OpenSource #VectorDB #DataEngineering #MachineLearning #LLM

sayzard Feb 16

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.

https://x.com/abhishek__AI/status/2023237938864381970

#zvec #vectordb #rag #opensource

Abhishek Yadav (@abhishek__AI) on X

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 👇

X (formerly Twitter)

sayzard Feb 15

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.

https://x.com/unwind_ai_/status/2022923156185567458

#opensource #vectordb #rag #ondevice #alibaba

Unwind AI (@unwind_ai_) on X

China's Alibaba just opensourced the SQLite of vector databases. zvec runs as a library inside your app and is built for on-device RAG no external server. no pinecone. no qdrant instance. 100% opensource.

X (formerly Twitter)