🎉 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 4,042 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
Redwood Shores, CA 94065, US
Employees at Milvus
Updates
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Weekend project: Follow exciting tutorials to build a #multimodal image search demo with #Milvus and GPT 4-o or a question-answering system with Milvus and Cohere. Check them out in this week's newsletter and RSVP for upcoming September events! 🔥 #GPT #Vectordatabase #Milvusvectordb #Embeddings #Demo #Tutorial #AI #ML
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Why even use a vector database? 🤔 Hear Tim Spann 🥑's thoughts! ☁️ Cloud or on-premise deployment 📊 Observability 👤 Multi-tenancy Full replay: https://lnkd.in/gfCwSQZM #vectordatabase #Milvus
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🚀 Unlock the power of semantic search! Learn how to integrate OpenAI Embedding API with Milvus vector database for advanced text search. 📝🔍 🔗 Explore our guide: https://lnkd.in/gnbWm-YA #AI #Milvus #OpenAI #SemanticSearch #Tech #Innovation
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These combined AI — Startup events are really powerful, especially when you can introduce people to the power of Vector Databases and AI use cases. 💪 See the recap and don't miss the next one 😉 https://lnkd.in/gNaaCFwU #AI #Startup #Events #Meetup #MilvusVectorDB #Vectordatabase
Report: Building the Future of Startups Enhanced with Vector Databases and AI
medium.com
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🔍 Licensing in AI: More than just legal jargon. As AI development accelerates, open-source large language models (LLMs) and vector databases are gaining traction. Open-source projects, like #Milvus under Apache License 2.0, allow developers to innovate, scale, and trust their solutions. But it’s not just about code—understanding open-source licensing is crucial for long-term success. From permissive licenses like MIT and Apache, to more restrictive copyleft models like GPL, choosing the right license is vital. It can impact your company’s ability to build, modify, and distribute AI solutions, not to mention the potential pitfalls of sudden license changes by providers. The future of AI will depend on how well we balance collaboration, innovation, and protection of intellectual property. #OpenSourceAI #AIdevelopment #LLM #LicensingMatters #AIInnovation #FutureOfAI #MilvusVectorDB https://lnkd.in/g75cPGRg
Deciphering Open Source Licenses in AI: An Essential Guide - Zilliz blog
zilliz.com
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In this example application, we use #Milvus to perform a hybrid search on an image of street cameras and the text of weather descriptions at those locations and re-rank to get the best results back instantly. ⛅ 🔁 https://lnkd.in/gjRVZDfQ. #HybridSearch #Rerank #RealWorld #AI #Application
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ICYMI - Charles Packer from MemGPT spoke at our #UnstructuredData meetup and highlighted a fundamental bottleneck in the current large language models (LLMs): limited memory. He explained how MemGPT aimed to solve this problem by taking inspiration from OS design. 🧠 Read the recap and integrate MemGPT with #Milvus: https://lnkd.in/gvtZjrSv #LLMs #Vectordatabase #AI #ML #Developers #Agents #Search
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Awesome tutorial by Jay R. on how to build a multimodal #RAG app using #Milvus, NVIDIA NIM, and LlamaIndex. See the tech stack and follow along 👇 #LLM #Tutorial #AI #ML #Vectordatabase #GPU #Multimodal
Step-by-step guide to build a multimodal #AI RAG app: 1️⃣ Convert documents to text using NeVA 22B and DePlot. 2️⃣ Use GPU-accelerated Milvus for quick embedding retrieval. 3️⃣ Generate precise responses with AI at Meta Llama 3. 4️⃣ Seamlessly integrate all components with LlamaIndex.
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LLM-Eval: used to evaluate the response quality of an LLM. This article covers: ▶️ What is LLM-Eval? ▶️ LLM-Eval Evaluation Metrics ▶️ How LLM-Eval Works ▶️ An LLM-Eval Demo 🔗 https://lnkd.in/gz4rUM9U #LLM #Evaluation #Demo #Learn #AI
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