For many, ChatGPT and the generative AI hype signal that artificial intelligence has gone mainstream. But despite little sea change in public awareness over the past six months, growing demand for artificial intelligence could outstrip the infrastructure needed to power the myriad use cases that are emerging — and that’s exactly what German startup What Qdrant is doing is finding free database software the address.

Founded in Berlin in 2021, Qdrant aims to provide AI software developers with an open-source vector search engine and database of unstructured data, an integral part of AI application development, especially as it involves the use of real-time data. Classify or tag.

To help its technology move deeper into the commercial space, Qdrant today announced $7.5 million in seed funding from lead investor Unusual Ventures, with participation from 42cap, IBB Ventures and angel investors including Cloudera co-founder Amr Awadallah . This is in addition to the €2 million ($2.2 million) pre-seed funding Qdrant raised last year.
For the uninitiated, vector databases are designed to store such unstructured data like images, videos, and text, allowing people (and systems) to search unlabeled content, which is especially important for scaling the use case of large language models (LLMs), For example as GPT-4 (which powers ChatGPT).

According to Gartner, unstructured data accounts for 90 percent of new data generated by enterprises and is growing three times faster than structured data. Meanwhile, the vast majority of AI research and development (RD) projects never make it to production, which Qdrant CEO and co-founder Andre Zayarni attributes to a lack of the right tools—eventually, an LLM that can connect to real-time unstructured data There are plenty of opportunities for anyone looking to build more useful AI applications.