Zilliz
If you're frustrated by managing complex infrastructure for large-scale vector search and AI integrations, Zilliz offers a fully managed, enterprise-grade vector database solution that simplifies deployment.
Streamline AI Data Management
With Zilliz, experience high performance and scalability for billion-scale vector search, empowering your AI applications to deliver faster, more accurate insights.
Achieve Seamless AI Integration
Its cloud-agnostic architecture and robust security make Zilliz the perfect tool to upgrade your AI infrastructure without hassle, helping you focus on your core projects and innovations.
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Customer Reviews for Zilliz
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Most helpful
As a data scientist at a mid-sized tech firm, I needed a reliable way to handle billion-scale image embeddings for our visual search app. Zilliz's fully managed Milvus service simplified deployment tremendously—within hours, I had a robust, scalable setup without the hassle of managing infrastructure. Its high-performance vector search made retrieval speeds lightning-fast, which was crucial for user experience. The built-in embedding pipelines streamlined our AI workflow, especially during model updates. My only wish is that multi-cloud deployment could offer more seamless migrations between providers, but overall, it's been a game changer for our project.
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Charlotte Taylor
Good for Large-Scale Recommendations, But Room for Improvement
What I liked
What could be better
I'm a freelance developer working on a multimodal video recommendation system for a startup. Zilliz's support for billion-scale vector search was impressive—deploying their managed service meant I didn't need to worry about scaling issues. The multi-cloud options allowed us to host across different environments to optimize latency. However, I found the setup documentation somewhat sparse, especially around fine-tuning indexing parameters for multimodal data. Also, integrating the embedding pipelines was straightforward, but I wish there were more built-in tools for advanced governance and data privacy. Still, for large-scale projects, Zilliz offers a robust backbone.
Charlotte Taylor
Streamlined AI Data Management with Milvus Integration
What I liked
What could be better
As a data scientist at a mid-sized tech firm, I needed a reliable way to handle billion-scale image embeddings for our visual search app. Zilliz's fully managed Milvus service simplified deployment tremendously—within hours, I had a robust, scalable setup without the hassle of managing infrastructure. Its high-performance vector search made retrieval speeds lightning-fast, which was crucial for user experience. The built-in embedding pipelines streamlined our AI workflow, especially during model updates. My only wish is that multi-cloud deployment could offer more seamless migrations between providers, but overall, it's been a game changer for our project.
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Zilliz: Features, Advantages & FAQs
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Frequently Asked Questions
What is a Compute Unit (CU)?
A Compute Unit (CU) represents the compute capacity allocated for your vector database workloads, impacting performance and scalability.
How many CUs do I need for a collection?
The number depends on your dataset size and performance needs; higher CUs improve speed and capacity.
Does Zilliz offer a free trial?
Yes, Zilliz offers a free plan with 5 GB storage, suitable for learning and prototyping, with options to upgrade.
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