🎉 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 3,958 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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🌐 Scraping a website and preprocessing the content for a #RAG application The process involves: ▶️ Web scraping ▶️ Chunking ▶️ Generating embeddings for each chunk Learn more: https://lnkd.in/ghk3eUZv #Vectordatabase #Chunking #Embeddings #Beginners
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🔍 Want to master Rule-based Retrieval? Explore how to use WhyHow.AI and #Milvus Lite to build advanced RAG applications! The Rule-based Retrieval package open-source by WhyHow can be used with the Milvus metadata filtering feature to put guardrails on the retrieval result. 🛤️ ✨ Link to our detailed guide: https://lnkd.in/gFP5Gyvh #AI #Milvus #RAG #Tech
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🔥 Weekend project: Learn how to build and optimize multi-agent systems with Llama Agents, #Milvus and Mistral AI. 🤖 Build Scalable, Autonomous Systems: Discover how llama-agents can create microservices running AI Agents that can be scaled up and down. 📊 Optimize Performance with Different LLMs: Learn how to choose the right LLM for the job, from the efficient Mistral Nemo powered by Ollama to the powerful Mistral Large. Save resources and maximize performance! 🕹️ Effortless Agent Management with Mistral Large: See how using Mistral Large as an orchestrator can streamline the management of multiple agents, making complex systems easier to control. 🔎 Find the Needle in the Haystack with Milvus: Learn how Milvus's Metadata filtering capabilities can help your agents quickly pinpoint the exact data they need, saving valuable processing time. Read the full tutorial! ➡️ https://lnkd.in/gRpu4CPY Stephen Batifol #Milvus #LlamaAgents #Mistral #Agents #Vectordatabase #LLMs
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Join Stephen Batifol at Civo Navigate Europe on Sept 10th-Sept 11th!
Developer Advocate at Zilliz (creators of Milvus, world's most popular open-source vector database) / Co-organiser of MLOps Meetups in Berlin
I'll be part of two talks at Civo Navigate Europe in Berlin on Sept 10 and 11th! 🚀 • Sept 10th: 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵 𝗢𝗽𝗲𝗻-𝗦𝗼𝘂𝗿𝗰𝗲 𝗮𝗻𝗱 𝗞𝟴𝘀. We'll have a look at how Milvus makes it possible to do Vector Search at Billions+ scale. • Sept 11th: I'll be part of a 𝗽𝗮𝗻𝗲𝗹 𝗱𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗮𝗯𝗼𝘂𝘁 𝗕𝗲𝗿𝗹𝗶𝗻 𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 with Sophia McKee Nele Uhlemann Benazir Khan and Kadir Keles As part of the MLOps Community, I also have some free tickets to give, feel free to reach out if you want some! 💙 https://lnkd.in/dn3XcHbZ
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Back to the Basics: What is Natural Language Processing (NLP) and how do vector databases transform NLP? 🤔 💭 Use cases include sentiment analysis, information extraction, machine translation, and question answering. Learn more: https://lnkd.in/d4Y2MxE3 #NLP #NaturalLanguage #RAG #LLMs #Vectordatabase
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Harness the power of similarity search with Jina AI embeddings & #Milvus! ✨ Jina AI is a Berlin-based startup founded in 2020. Jina AI has released embedding models with multi-modal or bilingual capabilities, and #reranker models to future refine the retrieval result from initial stage vector search. 🔍 Check out our guide to see how Jina embeddings can be used with Milvus to build semantic similarity search! https://lnkd.in/gZR8pETh #AI #Tech #SimilaritySearch
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🤖 Enhance your question answering system with semantic search! Here is a tutorial that shows how to use Hugging Face 🤗 as the data loader & embedding generator and Milvus for semantic search to find relevant answers. 🔍 🌟 Check it out: https://lnkd.in/gYDYi_ex #AI #Milvus #HuggingFace #ChatBot
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See routing in action 🏃 With adaptive #RAG, you can route questions to different retrieval approaches (web search 🌐 in this case). Full tutorial: https://bit.ly/4f1A5Tj Stephen Batifol #AgenticRAG #Milvus
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Do you know what SpaCY is? 🌶️ Check out the Top 10 #NLP Tools and Platforms. We go over key features, applications, advantages, and how to get started with each. https://lnkd.in/gKjvwtFT #Naturallanguageprocessing #NLP #ML #AI #GenAI #LLM #Milvus
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