"Lightning fast and personalised support for every query. They've helped us brainstorm some architecture level things."

"To store all our vector embeddings, now a staple for us to build forward. Their automatic 'load balancing' on which vectors are recently used is a game changer for system optimization"

"We use weaviate as a vector database that lets us create vector stores on the fly and find the best possible information for our users"

"Unbody is built on top of Weaviate, making Unbody content API run 100% on a vector database. Weaviate modular architecture as well as user-friendly GraphQl API has played a vital role in our product. "

"Weaviate has let us manage our data and has supported us since the very beginning. Best team ever and amazing product"

"At Lamatic, we’re excited to use Weaviate as our vector database solution! Weaviate’s powerful vector search and flexible deployment options allow us to manage complex data with ease and precision. Its high-performance, AI-first design enables us to deliver faster, more relevant results to our users, helping us take our product to the next level."

"We use Weaviate as a our vector database. Our main feed feature is powered by the vector embeddings Weaviate generates."