Open-source vector search engine
Open for applications
Open-source vector search engine
21-100 employees
Open for applications
21-100 employees
To create open source, AI-first infrastructure for the next wave of software development.
Vector search, powered by machine learning, is able to capture the context of unstructured data, and find similar data using approximate nearing neighbour algorithms. Weaviate, founded in 2019, is an open-source vector search engine. With it, users can index billions of data objects to search through, and find the right results quicker and more effectively.
Weaviate delivers high-speed similarity search over raw vectors or data objects. Its hybrid search allows users to combine keyword-based search with vector search, and its generative search enabled them to combine generative models with their data. A handful of companies are beginning to deliver vector search, but Weaviate’s open-source-first attitude and pay-as-you-grow offerings are what makes it stand out.
Previously known as SeMi Technologies, Weaviate has seen significant interest and investment. The company has said that funds received will help it work towards making Weaviate the standard in open-source vector search, allowing it to expand its teams, user community, and list of partners, as well as refining its ML models and modules.
Kirsty
Company Specialist
Some candidates hear
back within 2 weeks
Jodenbuurt, Amsterdam, Netherlands
Founders
Bob van Luijt
(Co-Founder & CEO)Chairman of the Creative Software Foundation. Founded Kubrickology Innovations.
Etienne Dilocker
(Co-Founder & CTO)Managing Dirctor of Dilocker Software Engineering & Consulting.
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