Weaviate is hiring! 🌟 Join our team and help shape the future of AI technology. Check out our open roles: • Event Marketing Manager: https://lnkd.in/d4sK7kNq • Senior Software Engineer Database: https://lnkd.in/daa2F-uM • Revenue Operations Manager: https://lnkd.in/dSkHt2uh • Client-Focused Site Reliability Engineer: https://lnkd.in/dAvgickM • Machine Learning Engineer: https://lnkd.in/edunj5yu Explore more roles and learn more about them on our Careers page: https://lnkd.in/dzibHnwZ Stay tuned for more opportunities coming soon! 👀
Weaviate
Technologie, informatie en internet
Amsterdam, North Holland 20.196 volgers
The AI-native database for a new generation of software.
Over ons
Weaviate is a cloud-native, real-time vector database that allows you to bring your machine-learning models to scale. There are extensions for specific use cases, such as semantic search, plugins to integrate Weaviate in any application of your choice, and a console to visualize your data.
- Website
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https://weaviate.io
Externe link voor Weaviate
- Branche
- Technologie, informatie en internet
- Bedrijfsgrootte
- 51 - 200 medewerkers
- Hoofdkantoor
- Amsterdam, North Holland
- Type
- Particuliere onderneming
- Opgericht
- 2019
Locaties
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Primair
Amsterdam, North Holland, NL
Medewerkers van Weaviate
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Ben Sabrin
Head of Global Sales at Weaviate , The Open AI Native VectorDB
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Sam Ramji
Co-founder and CEO of Sailplane
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Igor Taber 🇺🇦
Founder and General Partner at Cortical Ventures - funding and incubating next AI leaders
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Dharmesh Thakker
General Partner at Battery Ventures - Supporting Cloud, DevOps, AI and Security Entrepreneurs
Updates
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Check out these Weaviate events happening this week! 🥳 August 7th: Office Hours - free Q&A with Duda Nogueira https://lnkd.in/eJJd3d-C August 7th: VectorDB & Inference RAG Night with Adam Chan https://lu.ma/j8kc666x August 8th: Intro to Weaviate for Javascript Devs with Daniel Madalitso Phiri https://lnkd.in/ey9HgdVg Check out our events page for more: https://lnkd.in/dwfsjSht
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We’re thrilled to welcome three incredible new team members to Weaviate! 🌟 👋 Kaviraj Kanagaraj - Senior Software Engineer 💻 👋 Staci Blue - Event Marketing Manager 🎈 👋 Danny Williams - Machine Learning Engineer 🤖 Please join us in giving them a warm welcome. Here’s to new beginnings and great achievements ahead! 🎉 #NewHires #WelcomeToTheTeam #Growth #TeamWeaviate
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Weaviate heeft dit gerepost
Embedding models convert data into a machine-understandable format that captures its underlying meaning and relationships and is then used powering search, recommendations, and more! Check out this 60-second explainer video by Femke Plantinga ✨ Find out all about Weaviate’s model integrations here: https://lnkd.in/eR4j89eb
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Level up your Retrieval Augmented Generation (RAG) skills with Zain Hasan! In this week's live, hands-on workshop, Zain discussed how to improve indexing, retrieval, and generation quality. The main takeaway is to think of RAG as a framework, and each portion of the R, A, and G pipeline can be improved, evaluated, and assessed! Watch the recording here: https://lnkd.in/eXnrabEm Join our Community RAG Corner to get more expert resources, participate in peer discussions, and learn even more RAG tricks from our community: https://lnkd.in/d6WXfJgr
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Embedding models convert data into a machine-understandable format that captures its underlying meaning and relationships and is then used powering search, recommendations, and more! Check out this 60-second explainer video by Femke Plantinga ✨ Find out all about Weaviate’s model integrations here: https://lnkd.in/eR4j89eb
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Weaviate heeft dit gerepost
❄️ congrats to our friends over at Snowflake! 💚 Run Weaviate on SSCS https://lnkd.in/ef6aZA99
Today, Snowflake Snowpark Container Services is GA in all AWS commercial regions. 🌍 This is an important step in our AI journey, making it even easier for developers to deploy, manage, and scale any component of their AI apps (ML training, LLMs, APIs, and more…) without needing to move data or manage complex container-based infrastructure. It’s amazing to see what customers like LandingAI, RelationalAI, H2O.ai, SailPoint, Airmiles LLC, and Eutelsat OneWeb are already doing with this capability, and this is just the beginning! https://lnkd.in/gCjUt58r
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Weaviate introduces Hot 🔥, Warm ☀️, and Cold ❄️ Storage Tiers! Building on our multi-tenancy strength, we now offer tenant offloading with hot, warm, and cold storage tiers. This allows you to dynamically manage tenant activity, optimizing costs without sacrificing performance. Choose the right storage tier for your needs and scale your AI solutions efficiently with Weaviate. 🚀 Register for our upcoming product update webinar to learn more: https://lnkd.in/dj8Vd4Fn
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Weaviate heeft dit gerepost
Save (a lot on) costs with hot-cold storage! Enterprises use tiered storage to optimize their data infrastructure, and now Weaviate offers this as well: 🔥 Hot Storage: High-performance SSDs Real-time data, active databases Sub-millisecond access times Highest cost per GB 🌡️ Warm Storage: Mix of SSDs and HDDs Recently accessed data, semi-active workloads Access times in seconds Moderate cost per GB ❄️ Cold Storage: High-capacity HDDs Archives, backups, infrequently accessed data Access times in minutes or hours Lowest cost per GB This three-tier strategy can significantly reduce Total Cost of Ownership (TCO) while maintaining necessary performance. It balances I/O requirements, data age, and access patterns with cost efficiency. Weaviate implements this approach through tenant offloading to one of the three tiers, offering flexibility in data management. Read more here: https://lnkd.in/d_r4jXeB
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RAG Applications are a hot topic in AI right now! 🌶️ At Weaviate, we want to empower you to build the best AI and RAG Applications. Join The RAG Corner, a central hub for in-depth learning: https://lnkd.in/d6WXfJgr What you’ll find here: • Best practices • Community insights and industry standards • Learning resources • Demos, apps, and tools • Opportunities for Q&As and peer discussions We’re super excited for your insights and questions - let’s learn and grow together! 💚
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