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

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

#gigaom #vectorDB

ICYMI, #OpenSearch 3.5 is here! 🀩
I shared some of my personal highlights in this short clip.
Hope you enjoy the format πŸ‘
#OpenSearchAmbassador @OpenSearchProject @linuxfoundation #observability #analytics #search #vectorDB #kubecon #kubeconEU #o11yDay
Vector Search Made Simple: Getting Started with OpenSearch for AI Applications - Dotan Horovits

YouTube

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:
βœ… 9.3x faster index builds
βœ… 3.75x lower cost
βœ… 2x higher throughput
βœ… 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: βœ… 9.3x faster index builds βœ… 3.75x lower cost βœ… 2x higher throughput βœ… 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

LinkedIn
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 πŸ‘
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

Chunking: an essential concept to understand for Retrieval-Augmented Generation (#RAG). It is the process of dividing large documents into smaller, manageable segments called β€œchunks.” 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

Can't wait to to have a great ride at #JavaLand ! πŸ‡©πŸ‡ͺ

#OpenSearch sucht nicht mehr nach WΓΆrtern, sondern nach Bedeutungen. πŸ”

If you're there and want to learn about #vectorDB search and about the @OpenSearchProject, check out my talk πŸ™‚

See you 11th March in @JavaLandConf 🎑

πŸ”ΈAgenda: https://meine.doag.org/events/javaland/2026/agenda/#agendaId.6918

πŸ”ΈTickets: https://www.javaland.eu/

Exploring IBM Docling: the new open-source toolkit for turning complex documents into structured data ready for #RAG and AI workflows. πŸ“βš‘
Forget messy OCRβ€”preserve tables, lists, formulas & layout, feeding #LangChain, #LangGraph, and other vector pipelines.
#AI #DocumentUnderstanding #OpenSource #VectorDB #DataEngineering #MachineLearning #LLM

Abhishek Yadav (@abhishek__AI)

μ•Œλ¦¬λ°”λ°”(Alibaba)κ°€ λ°œν‘œν•œ ZvecλΌλŠ” μž„λ² λ””λ“œ 벑터 DB μ†Œκ°œ νŠΈμœ—μž…λ‹ˆλ‹€. μ„œλ²„ 배포 λΆˆν•„μš”, μˆ˜μ‹­μ–΅ 벑터λ₯Ό λ°€λ¦¬μ΄ˆ λ‹¨μœ„λ‘œ 처리, dense/sparse/hybrid 지원, λ…ΈνŠΈλΆΒ·μ„œλ²„Β·μ—£μ§€μ—μ„œ μ‹€ν–‰ κ°€λŠ₯ν•˜κ³  RAG(검색 기반 생성) μš΄μ˜μ— μ ν•©ν•˜λ©° 100% μ˜€ν”ˆμ†ŒμŠ€λ‘œ μ œκ³΅λœλ‹€κ³  μ„€λͺ…ν•©λ‹ˆλ‹€.

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. β†’ No server deployment β†’ Billions of vectors in ms β†’ Dense + sparse + hybrid β†’ Runs on laptop, server, edge 100% Open source πŸ‘‡

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Unwind AI (@unwind_ai_)

μ€‘κ΅­μ˜ μ•Œλ¦¬λ°”λ°”κ°€ 벑터 λ°μ΄ν„°λ² μ΄μŠ€μ˜ 'SQLite'라고 뢈린 zvec을 μ˜€ν”ˆμ†ŒμŠ€λ‘œ κ³΅κ°œν–ˆμŠ΅λ‹ˆλ‹€. zvec은 μ•± λ‚΄λΆ€μ—μ„œ 라이브러리둜 λ™μž‘ν•˜λ©° μ˜¨λ””λ°”μ΄μŠ€ RAGλ₯Ό λͺ©ν‘œλ‘œ μ™ΈλΆ€ μ„œλ²„λ‚˜ PineconeΒ·Qdrant μΈμŠ€ν„΄μŠ€ 없이 μž‘λ™ν•˜λ„λ‘ μ„€κ³„λ˜μ—ˆκ³ , 100% μ˜€ν”ˆμ†ŒμŠ€μž…λ‹ˆλ‹€.

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.

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