We're thrilled to announce that Zilliz is a founding member of the Open Platform for Enterprise AI (OPEA) project hosted by The Linux Foundation! 👐 OPEA aims to enable the development of flexible, scalable generative AI systems by providing open source standards, architectures and tooling. As a core vector database provider, we strongly believe in fostering open, extensible AI platforms. 🗣️ Our CEO Charles Xie said: "We firmly believe that vector databases are integral to the future of open generative AI, which is why we donated the The Milvus Project vector database to the Linux Foundation back in 2020. Our support of OPEA is an extension of that commitment to creating a framework alongside Intel that fosters extensible, accessible, and scalable AI platforms for enterprise developers." We're proud to collaborate with industry leaders like Intel Corporation, Anyscale, Cloudera, Hugging Face, and many others on this pioneering open source initiative. Read more: https://bit.ly/4b3lX9t & opea.dev #OPEA #LinuxFoundation #OpenSource #RAG #GenAI
Zilliz
Software Development
Redwood City, CA 11,266 followers
Vector database trailblazer and creator of Milvus, the world's most widely-adopted open source vector database.
About us
Zilliz is a leading vector database company for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most widely-adopted open-source vector database, the company builds next-generation database technologies to help organizations create AI applications at ease. On a mission to democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization.
- Website
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https://zilliz.com
External link for Zilliz
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Redwood City, CA
- Type
- Privately Held
- Founded
- 2017
- Specialties
- database, artificialintelligence, unstructureddata, machinlearning, similaritysearch, vectordatabase, and distributedsystem
Locations
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Primary
Redwood City, CA 94065, US
Employees at Zilliz
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Travis White
GTM - Zilliz (creators of Milvus, world's most popular open-source #VectorDatabase)
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Sam Yang
GTM Executive | Global Strategy & Execution | Creative Problem Solver | Team Builder | Milvus vector database
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Emily Kurze
Director of Marketing | Zilliz (creators of Milvus, world's most popular open-source vector database)
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Le KANG
Director of Channel Sales and Ecosystem of Zilliz - The leading vector database cloud for AI. Zilliz Cloud
Updates
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We're #hiring a new Enterprise Account Executive - EU in London, England. Apply today or share this post with your network.
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Bay Area! We'll be in San Francisco TOMORROW for our last Unstructured Data Meetup of the year. Exciting talks and interactive demos are in store... 📊 A Table is Worth 1000 Words by Stefan Webb: we'll explore how new multimodal foundation models are trained to understand tabular data, and demonstrate practical ways to unlock hidden value in your organization's data assets. 🌉 Bridging Data Pipelines and AI by Akriti Keswani: Powering Insights with Airbyte and Milvus: we’ll explore how Airbyte’s ETL tooling enables seamless data movement from diverse sources, including unstructured data, into Milvus 🛞 Building an Accuracy Flywheel for your LLM RAG Apps by Puneet A. and Preetam Joshi Save Your Spot: https://lu.ma/1brmlp5k #UnstructuredData #Meetup #Event #Tech #AI #Techtalks
Unstructured Data Meetup SF · Luma
lu.ma
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Zilliz reposted this
Milvus 2.5 loading... 🔄 Join us LIVE with the VP of Engineering learn where dense embeddings fall short and how a unified system architectures address the search needs. We'll show you Milvus 2.5's hybrid search, preview its sparse-based BM25 implementation, and share performance numbers against current Elasticsearch-based architectures. Save Your Spot: https://lnkd.in/gjeXtPS8 #Vectordatabase #Milvus #Embeddings #Webinar
Dense Embeddings != Complete Search - New Milvus 2.5
zilliz.com
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We're #hiring a new Staff Software Engineer, Database Systems in Redwood City, California. Apply today or share this post with your network.
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We're #hiring a new Solutions Architect - NYC Metro Area in New York, New York. Apply today or share this post with your network.
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Unstructured data (like text, images, or audio) makes up 90% of new data, but most databases aren’t built to handle it efficiently. Learn why purpose-built vector databases are essential for transforming unstructured data into actionable insights and how to choose the right one for your use case. Get your free copy of The Definitive Guide to Choosing a Vector Database. https://bit.ly/4g8AVx9
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Webinar on all things multimodal RAG! Save your spot👇
Join Stefan Webb for an upcoming Open Data Science Conference (ODSC) webinar on Dec 10! He'll be discussing Multimodal RAG with Vector Databases. This talk will share insights into building image-text search and Composite Image Retrieval (CIR) using multimodal embeddings and the Milvus open source vector database, demonstrating how multi-modality unlocks new use cases in Retrieval-Augmented Generation (RAG). Save your spot: https://lnkd.in/gcF4NvxB #Milvus #Vectordb #ODSC #Webinar #VirtualEvent #AI #RAG
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Zilliz reposted this
Learn key strategies for vector database integration, from Milvus setup to semantic search optimization, plus real-world ROI insights for AI/ML teams. By Denis Kuria, thanks to Zilliz | #AIML #Databases
Integrating Vector Databases With Existing IT Infrastructure
https://thenewstack.io
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A new vector search engine that delivers a 10X performance boost in production environments! This isn't just about raw speed - we've reimagined how vector search should work at scale. 📈😎 Check it out: https://lnkd.in/g6QBwpXt #ZillizCloud #Updates #New #Release #VectorSearch #VectorDatabase #AI #Tech
New for Zilliz Cloud: 10X Performance Boost and Enhanced Enterprise Features - Zilliz blog
zilliz.com