🎉 A new Milvus is here! Milvus Lite is an easier way to get started with vector search. All it takes is a pip-install of pymilvus to your laptop or notebooks. When you’re ready to migrate your prototype to production, the shared API makes it easy to deploy to Docker, Kubernetes, or the cloud. The new Milvus Lite is integrated with your favorite AI tools like LangChain, LlamaIndex, Hugging Face, Jina AI, Voyage AI, #haystack by deepset, BentoML, Airbyte, WhyHow.AI, and ragas. Learn more 👉 https://lnkd.in/gm7sqqwm
Milvus
Software Development
Redwood Shores, CA 3,748 followers
Open-source vector database for production AI, created by Zilliz, hosted by The Linux Foundation.
About us
Milvus is a highly flexible, reliable, and blazing-fast cloud-native, open-source vector database. It powers embedding similarity search and AI applications and strives to make vector databases accessible to every organization. Milvus can store, index, and manage a billion+ embedding vectors generated by deep neural networks and other machine learning (ML) models. This level of scale is vital to handling the volumes of unstructured data generated to help organizations to analyze and act on it to provide better service, reduce fraud, avoid downtime, and make decisions faster. Milvus is a graduated-stage project of the LF AI & Data Foundation.
- Website
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https://milvus.io
External link for Milvus
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Redwood Shores, CA
- Type
- Nonprofit
- Founded
- 2019
- Specialties
- Open Source and RAG
Locations
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Primary
Get directions
Redwood Shores, CA 94065, US
Employees at Milvus
Updates
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🦙 Exciting virtual hackathon!! Join us along with Together AI, LlamaIndex, and lablab.ai for a #Llama3 hackathon ⌚ Dive into a 48-hour journey of creativity. 🚀 Compete to craft an app supercharged by Llama 3. 🎓 Expert mentors will guide you every step of the way. 🧑🏻💻 Sign up before the Kick-Off Stream to secure your spot! https://bit.ly/461GWIg
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What is a retrieval grader prompt? ✅ Check if the answer you're giving the user is relevant to their question. Follow along with Stephen Batifol to build intelligent RAG applications with LangServe, LangGraph by LangChain, and #Milvus 🔗 https://bit.ly/4cHBP24
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We are excited to announce... pymilvus hit 10 Million downloads! 🎉 https://bit.ly/3Lmj4FW
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💪 The power of AI in legal research! Build a basic RAG system using #Milvus, Ollama, Voyage AI, and #Llama3 to navigate legal documents and find the answers you need. We used data from the Royal Courts of Justice in London as an example 👑 https://bit.ly/4cE3xNu Stephen Batifol #RAG #vectordatabase #ollama #llama3 #legaltech
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🧐 Wondering how to build a RAG system using Milvus and LlamaIndex? 🦙 Check out our newly updated integration document! 🤩 You can use any Milvus deployment! From a simple local run of Milvus Lite by specifying a file name to powerfully scaling up to a billion-vector K8s cluster. Just change the URL from a local file to a remote server endpoint & add your credentials. Plus, enjoy cool features like metadata filtering with LlamaIndex-style API! 🔗 Quick demo: https://bit.ly/4b19rXw #VectorDatabase #Milvus #RAG #Tech
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🤯 📣 Weekend Project! Test out BOTH #multimodal and #multilingual capabilities by following this tutorial using #Milvus and #GPT4o. 🎥 https://bit.ly/3RYW43m Christy Bergman
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The Milvus bird takes #selfies too 🤳🐦 Pictures by Tim Spann 🥑 #Milvus #Vectordatabase #Opensource #AI
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Be smart and use smart text chunking to organize and retrieve text effectively for various applications 😉 Recursive Character Text Splitting 🔄 Small-to-Big Text Splitting 📏 Semantic Text Splitting 🧠 Dive in to explore how each technique works! https://bit.ly/3RVaqSf
Exploring Retrieval Augmented Generation (RAG): Chunking, LLMs, and Evaluations - Zilliz blog
zilliz.com
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Milvus 2.4 introduces powerful hybrid search across multiple vector columns! 🚀 ✅ Combine multimodal, sparse/dense & full-text search ✅ Advanced reranking strategies ✅ More accurate results Learn how it works & see a practical example: https://bit.ly/3W5jQ0d #VectorDatabase #AI
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