Why did we open-source our inference engine? Read the post
← All News

The Future of Vector DBs

The Future of Vector DBs

At the GenAISummit on November 2, 2024, Daniel Svonava, CEO of Superlinked, joined Charles Xie from Zilliz and Jobi George from Weaviate for a lively discussion on “The Future of Vector DB.”

Daniel shared some fascinating insights, starting with the surprising fact that only about 0.1% of enterprise data is currently vectorized—meaning there’s a massive untapped opportunity out there. He highlighted how vision-capable models are transforming e-commerce and document search, and broke down cost-saving strategies like flash storage and quantization to make these systems more accessible.

One of Daniel’s key points was the growing importance of handling multimodal data—combining text, images, and more—to push AI applications even further. Despite the recent buzz around vector databases, he believes their long-term potential is still hugely underestimated and predicts some “killer applications” will emerge in the next few years.

Want to catch the full conversation and hear from Daniel and other experts? You can watch the panel discussion below.

Stuck on which DB to choose for your project? Don’t forget to check out our handy Vector DB comparison table.

Self-hosted inference for search & document processing

Cut API costs by 50x, boost quality with 85+ SOTA models, and keep your data in your own cloud.

Github 1.9K

Contact us

Tell us about your use case and we'll get back to you shortly.