What is Zilliz
Zilliz is a vector database management system built for enterprise-grade AI applications. It is a fully managed service powered by open-source Milvus, supporting billion-scale vector search and trusted by over 10,000 enterprise users.
How to use Zilliz
- Sign up for a free Zilliz Cloud account.
- Grab one of the official SDKs (Python, Java, Go, Node.js are mentioned).
- Create your first collection.
- Conduct a vector similarity search.
- Upgrade to a pay-as-you-go plan when ready to launch.
Features of Zilliz
- Easy to Use: Easily establish a large-scale vector similarity search service in minutes. Stay out of Ops and focus on your business logic.
- Optimized Milvus: A fully managed service built on Milvus with an optimized AUTOINDEX balancing recall and performance, resulting in enhanced efficiency and lower TCO.
- Blazing Fast: Enables a 10x faster vector retrieval speed than Milvus with the Cardinal search engine, unparalleled by any other vector database management system.
- Highly Scalable: Ideal for large-scale vector data with distributed, high-throughput capabilities. Easily scale the cluster to 500 CUs, serving over 100 billion items.
- High Availability: Offers unparalleled customer experience and industry-leading SLAs, Zilliz offers 99.95% monthly uptime for all the products on our cloud.
- Security & Governance: Meets the SOC2 Type II and ISO27001 standards and supports Role-Based Access Control (RBAC) for robust data protection.
- Built-in Embedding Pipelines: Converts unstructured data into searchable vector embeddings, navigating from data preparation to chunking, model selection, and transformation.
- Multi-Cloud: Available on AWS, Azure, and GCP across eight regions worldwide, ensuring access to Zilliz Cloud's powerful capabilities wherever your projects are hosted.
- AI Integrations: Zilliz Cloud integrates with leading AI models and frameworks to transform unstructured data into a searchable and valuable asset.
Use Cases of Zilliz
- Retrieval Augmented Generation (RAG): Expand LLMs' knowledge by incorporating external data sources into LLMs and your AI applications.
- Recommender System: Recommend information or products to users based on their past behaviors and preferences.
- Text/Semantic Search: Search for semantically similar texts across vast amounts of natural language documents.
- Image Similarity Search: Search for visually similar images from a vast collection of image libraries.
- Audio Similarity Search: Find similar audio results from massive amounts of audio data such as music, sound effects, and speeches.
- Video Similarity Search: Search for similar videos from extensive collections of video libraries.
- AI Agents: Powers high-performance AI agents, enabling real-time search, knowledge grounding, multi-agent collaboration, and intelligent decision-making.
- Molecular Similarity Search: Search for similar substructures, superstructures, and other structures for a specified molecule.
- Multimodal Similarity Search: Query across different modalities such as texts, videos, audio, and images.
Pricing
Zilliz offers a Free Tier, flexible Pricing Plans, and a Calculator to estimate costs. A pay-as-you-go plan is available for launching applications. Deployments are available on AWS, GCP, or Azure.
