Zilliz Cloud Vector Database - Built on Milvus (pay-as-you-go)

What do you like best about the product?

Profesional technical support, great documentation and the most scalable and reliable solution for vector similarity search

What do you dislike about the product?

Nothing to dislike. Everything is going great so far

What problems is the product solving and how is that benefiting you?

Zilliz addresses the challenge of searching through embeddings created from social media creators' content on a large scale. It effectively manages the complexity involved in handling and retrieving relevant information from vast amounts of such data.

What do you like best about the product?

Zilliz has been pretty stable in the last year. The team was very helpful resolving issue in the initial integration period. We currently store about 50 million vectors.

What do you dislike about the product?

The cost can be somewhat high when we stored like 1 billion vectors.

What problems is the product solving and how is that benefiting you?

We use Zilliz as our RAG

What do you like best about the product?

This product is quick, affordable, straightforward, and gets the job done. It's user-friendly and can easily scale to meet growing needs.

What do you dislike about the product?

Modifying collection schemas involves a migration process, which can be quite complex and often takes a significant amount of time to manage.

What problems is the product solving and how is that benefiting you?

Zilliz serves as the primary knowledge base for our AI agent. It drives the RAG functionality for a customer support and shopping assistant AI agent that currently assists millions of e-commerce shoppers.

What do you like best about the product?

Extremely fast, low-latency vector search, even at a massive scale. The cloud platform is intuitive, and the SDKs (like PyMilvus) are straightforward to integrate.

What do you dislike about the product?

The pricing for the cloud service can be a bit high for smaller projects or individual developers.

What problems is the product solving and how is that benefiting you?

We use Zilliz to power our recommendation system. It solves the critical problem of storing and searching millions of image embeddings at high speed. This benefits us by enabling real-time, accurate visual recommendations and 'similar item' search for our users, which significantly improves user engagement.

What do you like best about the product?

I truly love using Zilliz for building our video retrieval tool as it has greatly enhanced our ability to convert each frame of a video into vectors and store them effectively in Zilliz Cloud. This functionality allows for accurate and efficient searches for corresponding images or videos, whether making searches from text to images or vice versa. The support from Zilliz is impeccable, with a very active community and extremely reliable database systems, which gives us a great deal of confidence. The most impressive aspect is the retrieval speed; it is exceptionally fast, allowing us to search through millions of vectors in just 200 milliseconds, which is critical for our operations. Additionally, the ability of Zilliz to handle a large capacity of data further boosts its value, making our data management and retrieval processes smooth and efficient.

What do you dislike about the product?

I think the number of vector columns supported in a single collection is a bit low, it seems to be 4 or 8. We would like to be able to search across more dimensions.

What problems is the product solving and how is that benefiting you?

I use Zilliz to convert video frames into vectors stored in Zilliz Cloud, facilitating accurate image or video retrieval. The retrieval speed is extremely fast, processing millions of vectors in 200 milliseconds, and the capacity is very large.