Weaviate

““Accuracy determines the amount of savings any large institution can get. If the results aren’t accurate or take too long to surface, a human needs to get involved, and the cost savings are greatly reduced. So accuracy and speed are critical for us.””

““When you're a growing team moving fast, having experts in certain fields to guide you and bounce ideas off has been really, really helpful. Discussing cost optimization has given us a lot more visibility into how our costs scale as we ramp up our document processing and use of vector databases.””

““Damien, our solutions engineer, has been absolutely fantastic. We always go away thinking we've learned about five or six new things just from a 15-minute call with him,””

““Since moving to Enterprise from Weaviate Serverless the level of support, responsiveness, and the amount we've learned from the Weaviate team has been hugely valuable,””

““Very early on we were fortunate to speak with Byron Voorbach, Weaviate’s Field CTO. He saved us several weeks of iterating on various retrieval methods and was able to guide us towards a specific solution that worked really well. It helped us deliver on the accuracy and consistency our users expect, and we still use the framework of that architecture now,””

““Teams started flocking to it. I thought I would need to convince them to move from Pinecone, ChromaDB or Postgres. But as internal expertise grew, people just started adopting Weaviate for its features, performance, and ease of use.””

““Every employee can now upload files and ask questions about them in our internal chat tool. Anyone, even if they're not an engineer and know nothing about coding, is able to use really good RAG.””

““Our whole value as a company is our expertise and content. We were able to translate the speed of implementation of Weaviate to the speed of delivering commercial AI products within a year,””

““Experimenting is one thing, but when you’re building long-term, client-facing enterprise applications, you want the right vector database with the right level of support. Weaviate was that database for us,””

“Weaviate stood out because it’s clearly designed for real production use cases, not just experimentation. It was the only solution with an efficient tenant-based system that scaled to our unique workload of tens of thousands of distinct segmented indexes.”

“Enabling the development and launch of Delegance, from idea to first customers, in just a few months and on a start-up budget has been incredibly valuable to us. And looking forward, I'm completely confident it will scale to meet our rapid growth plans.”

““Our evaluation confirmed that systems built specifically for vector search behave better than general-purpose search engines with vector capabilities added on. Among the evaluated options, Weaviate showed the most consistent performance across our scenarios, so we selected it as the new backend for our shared embedding services platform.””

“Plug-and-play is what got the contract over the finish line. Every other vendor we looked at wanted us to change how we do storage. We can't afford a support relationship that puts our customers' production environments at risk, and Datafy hasn't.”