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Weaviate Enterprise Cloud

Weaviate | 1

Reviews from AWS Marketplace

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External reviews

24 reviews
from G2

External reviews are not included in the AWS star rating for the product.

    Education Management

Quite stable

  • November 17, 2023
  • Review verified by G2

What do you like best about the product?
It works really good and it's quite stable in general for the requests that we do. It's also fast and works good with the vectors.
What do you dislike about the product?
On November 8th there were some issues regarding the functionalities of Weviate(I guess because OpenAI went down) but we didn't get any notifications regarding the service.
What problems is the product solving and how is that benefiting you?
Weviate is helping us to vectorize in an easy way all our database and knowledge and based on it we can have really good results in terms of similarity.

    Brayden L.

Efficient Vector Storage

  • November 17, 2023
  • Review verified by G2

What do you like best about the product?
I highly recommend this platform as a fully capable vector database solution. I have used Weaviate for everything from RAG to simple data storage, and find it easy to use.
What do you dislike about the product?
It does not have a very modern API/interface, but I feel this is balanced by its capability.
What problems is the product solving and how is that benefiting you?
I am utilizing Weaviate for data storage and RAG

    Deborishi G.

We love it at Clirnet

  • November 17, 2023
  • Review verified by G2

What do you like best about the product?
Ability to create knowledge graphs and ease of handling embeddings
What do you dislike about the product?
Pricing could be a little more economical
What problems is the product solving and how is that benefiting you?
We are a healthcare company, we use weaviate to embed MeSH keywords

    Rajan G.

One of the best open source vector db

  • October 13, 2023
  • Review provided by G2

What do you like best about the product?
1. It's an open source vector db
2. Good community support
3. Allowing to integrate with various embeddings models
What do you dislike about the product?
1. Vector search criterias can be improved
2. Custom embedding image addition is complex
What problems is the product solving and how is that benefiting you?
1. It is open source and free
2. It can handle vector size of more than 5-10 million

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