What do you like best about the product?

Weaviate stores the data objects as vectors in multidimensional space, so you can search and find relationships between the data based on semantic meaning, resulting in great and stable accuracy.
Their customer support is impeccable, and there's a great community environment too in Slack.

What do you dislike about the product?

Could focus more on AI docs for direct API access.

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

Weaviate is creating embeddings, storing them in a vector DB and retrieving them when performing a semantic search for generative augmentation, together as self-contained RAG in Weaviate.

I've also used their transformation agent and I was impressed about the quality of the answers, even though I made some mistakes in the setup at the time.

I subscribe to their cloud instance so that I don't have to deal with user data on my servers, and a great deal of RAG infra moving parts in general. It has reduced cost at scale, and it's easy to provision and configure.