Announcing Nomic Embed Vision All Nomic Embeddings are now multimodal with backwards compatibility. Blog: https://lnkd.in/ewcnr28G Nomic Embed Vision: - Expands Nomic Embed into a high quality, unified embedding space for image, text, and multimodal tasks - Outperforms both OpenAI CLIP and text-embedding-3-small - Open weights and code to enable indie hacking, research, and experimentation - Released in collaboration with MongoDB, LangChain, LlamaIndex, Amazon Web Services (AWS), Hugging Face, DigitalOcean and Lambda Huggingface Open Weight Models: - v1: https://lnkd.in/eZBx2SWw - v1.5: https://lnkd.in/e2y9aFje Access on AWS Marketplace and in the Nomic Embedding API - https://lnkd.in/eCEd2ySs - https://lnkd.in/eQFteaBx
Nomic AI
Technology, Information and Media
New York, NY 4,575 followers
Building explainable and accessible AI systems.
About us
Nomic AI builds tools to structure, understand, and collaborate with unstructured data (text, images, embeddings, video and audio). Our flagship product, Nomic Atlas, allows anyone, regardless of skill, to easily curate, visualize, and act on unstructured data at a massive scale. Other benefits include users being able to remove anomalies to build better quality ML models faster, while improving internal data collaboration and data quality.
- Website
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https://nomic.ai
External link for Nomic AI
- Industry
- Technology, Information and Media
- Company size
- 11-50 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Specialties
- AI, Unstructured Data, and MLOps
Locations
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Primary
Get directions
36 E 20th St
Floor 4
New York, NY 10003, US
Employees at Nomic AI
Updates
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Aurecon replaced a tangle of disparate data stores, scripts, and spreadsheets with Atlas as their unified platform for data exploration and AI automation. Now their 7,500 employees solve complex challenges faster with actionable data insights. Learn how in our newest customer spotlight: https://lnkd.in/gfxPddyu
How Aurecon’s Team of 7,500 Employees Use Nomic Atlas to Understand and Build With Their Data in One-Tenth of the Time
nomic.ai
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We're thrilled to announce our partnership with Aurecon, an international design and engineering company! Aurecon's AI strategy aligns perfectly with our mission at Nomic: to make AI practical for solving real-world challenges. By combining Aurecon’s deep industry knowledge in design, engineering and construction across the Asia-Pacific region with our AI expertise, we’re addressing key issues like resource optimization, data management, and sustainability. We’re looking forward to continuing our work to make AI more useful and accessible for everyone! https://lnkd.in/eb_STDNU
We’re partnering with leading AI startup Nomic AI to enhance the use of generative AI in solving complex client problems faster across the entire asset lifecycle. https://bit.ly/3BP8AgM #GenAI #BringingIdeasToLife
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We're #hiring a new Frontend Web Engineer in New York, New York. Apply today or share this post with your network.
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We’re proud to partner with MongoDB on vector search! Our embedding model Nomic Embed Text allows you to quantize embeddings, speeding up search and freeing up storage while maintaining strong performance. With MongoDB, you can do this seamlessly!
We're thrilled to introduce new vector quantization capabilities in MongoDB Atlas Vector Search! These features reduce vector sizes while preserving performance - enabling developers to build scalable, cost-efficient semantic search and #GenAI applications. Customers can now import and work with quantized vectors from their embedding model providers of choice such as our MAAP partners Cohere and Nomic AI. Learn more about our new capabilities and what new vector quantization features are coming next: https://lnkd.in/gYAH3TBA
Vector Quantization: Scale Search & Generative AI Applications | MongoDB Blog
mongodb.com
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Announcing GPT4All 3.4, enabling on-device spreadsheet analysis with private local AI. - Microsoft Office Data Integrations - Advanced Excel Support - Local RAG performance improvements - Now supporting 3B and 1B parameter models comparable in performance to Llama 13B We've added the capability to chat with Microsoft .docx files in LocalDocs. And you can now attach .xlsx files directly to your chat, using GPT4All to analyze Microsoft Excel spreadsheet data - 100% locally and privately. We’re continuing to add faster models, better file support, and enhanced accuracy to GPT4All. Try out the new LLaMa 3.2 models on your devices today and explore all the latest features. Read more about the release: https://lnkd.in/e2r-_ZkT
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🗺️ Atlas Spotlight: Twitter/X Community Notes Twitter/X can be a battleground of competing narratives and misleading posts. Atlas gives you the tools to see how these narratives evolve, and lets you search for the concepts you want to investigate in depth - like elections. Explore this map of the whole history of Twitter/X Community Notes and witness the information battleground for yourself: https://lnkd.in/emq5fxcd
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We're #hiring a new Senior Software Engineer in New York, New York. Apply today or share this post with your network.
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We're #hiring a new Senior DevOps Engineer in New York, New York. Apply today or share this post with your network.
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Thank you to everyone who came to the Embeddings Meetup at Nomic HQ last night! We hosted an incredible panel of researchers and designers from across the AI industry. Our moderator Ian Johnson led the discussion with Adam Pearce, Leland McInnes, Yondon Fu, Linus L., and our cofounder Andriy Mulyar, asking about their perspectives on embeddings (the data representations used in AI models) and their visions for how embeddings and their user interfaces will evolve in the future. These questions are at the heart of our mission to create the world’s best data mapping technology. So much enthusiasm in the NYC tech scene for these discussions!
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