Milvus is an open-source cloud-native vector database built for high-performance embedding similarity search & AI apps. Index vectors on a trillion scale. Component-based architecture optimized for the cloud with rich tooling.
Milvus is an open-source cloud-native vector database purpose-built from the ground up for blazing fast embedding similarity search and AI applications. It simplifies working with massive volumes of vector data by providing intuitive APIs across the full development lifecycle.
⚡️ Optimized for speed with average millisecond latency on trillion-scale vector datasets
☁️ Cloud-native architecture ensures resilience, failover capabilities
🔎 Supports hybrid search fusing vectors and scalars
🛠️ Rich tooling like CLI, data migration utilities, Attu UI
📚 Client libraries for Python, Java, JavaScript, Go etc.
Milvus offers best-in-class performance, whether you want to build a conversational engine, content recommendation system, or media search application drawing on vector similarities.
Its componentized design delivers maximum flexibility to scale storage and computation separately. Robustness for real-time analytics use cases is baked in.
- 👉 It provides millisecond search on trillion vector datasets to enable fast retrieval and recommendations. This allows AI engineers to build scalable applications with real-time response. 🚀
- 👉 It offers simplified unstructured data management with rich APIs tailored for data science workflows. This makes it easier for AI engineers to work with embedding data at scale. 🧑💻
- 👉 It delivers consistent user experience across devices, allowing AI engineers to embed real-time search in any application. Whether working locally or in the cloud, the experience stays the same. 💻
- 👉 It has reliable built-in replication and failover to ensure business continuity. AI applications built with Milvus can continue serving users without disruption. 🆙
- 👉 It provides component-level scalability to handle growing data volumes cost efficiently. AI engineers can scale their Milvus deployment on demand. ⚡️
- 👷🏽♀️ Builders: Charles Xie, Frank Liu, Yujian Tang
- 👩🏽🏭 Builders on X: frankzliu, starlordxie, yujian_tang
- 👩🏽💼 Builders on LinkedIn: https://www.linkedin.com/in/chaoxie/ https://www.linkedin.com/in/fzliu/, https://www.linkedin.com/in/yujiantang/
- 👩🏽💻 Contributors: 229
- 💫 GitHub Stars: 24.3k
- 🍴 Forks: 2.6k
- 👁️ Watch: 345
- 🪪 License: Apache-2.0 license
- 🔗 Links: Below 👇🏽
- GitHub Repository: https://github.com/milvus-io/milvus
- Official Website: https://milvus.io/
- Twitter account: https://twitter.com/milvusio?lang=en-GB
- Profile in The AI Engineer: https://github.com/theaiengineer/awesome-opensource-ai-engineering/blob/main/libraries/milvus.md
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