Collaborating Authors

Weaviate is an open-source search engine powered by ML, vectors, graphs, and GraphQL


Bob van Luijt's career in technology started at age 15, building websites to help people sell toothbrushes online. Not many 15 year-olds do that. Apparently, this gave van Luijt enough of a head start to arrive at the confluence of technology trends today. Van Luijt went on to study arts but ended up working full time in technology anyway. In 2015, when Google introduced its RankBrain algorithm, the quality of search results jumped up.

Database technology evolves to combine machine learning and data storage


When Bob van Luijt, the CEO of SeMI Technologies, looks at the history of databases, he highlights a few distinct waves. First, there was the world of SQL, where all the data fit neatly into rectangular tables. Then came the NoSQL revolution that brought the flexibility of the document model, where each entry didn't need to have the same fields. Now, his company is bringing Weaviate to the market as part of a wave of AI-centric databases that merge the power of machine learning with data storage. The new model offers not just the potential for tapping the power of AI algorithms, but also a more flexible search engine that isn't locked into searching for exact matches.

The 2022 Data Science Job Market, Deep Learning Advancements, Emotion Recognition, and Jobs


In our next Lightning Interview, we speak with Weaviate's co-creator, Bob van Luijt. In this live webinar, we will examine some naive ML workflows that don't take the development-production feedback loop into account and explore why they break down, showcase some system design principles that will help manage these feedback loops more effectively, and more. Data Governance is a critical component to ensuring a company is compliant with privacy laws and regulations alongside providing their data citizens with secure self-service access to trusted and quality data. In this webinar join us as we talk about noteworthy highlights in the AI/ML space from 2021, upcoming trends in ML/AI for 2022, and more. Hear first-hand from three Z by HP Data Science Global Ambassadors how the Windows Subsystem for Linux 2 (WSL 2) has brought productivity and efficiency to their workflows.

We've integrated DocArray with ElasticSearch!


You can now leverage our robust Document Store powered by Elasticsearch to retrieve embeddings in the blink of an eye! We're delighted to announce CLIP-as-service, a low-latency high-scalability service for embedding images and texts. Read our blog to know how you can easily integrate it as a microservice into your neural search solutions. We've also made some interface improvements and added new features If you have technical issues with Jina, we would love to discuss them all during our Office Hours on March 31st, Thursday at 17:00 CET! (convert to your timezone) Sign up here and add to your calendar to receive a notification. Our good first issues repo features some great issues for those looking to take their first steps into open source with Jina.

Graphs in the 2020s: Databases, Platforms and The Evolution of Knowledge


Graphs, and knowledge graphs, are key concepts and technologies for the 2020s. What will they look like, and what will they enable going forward? We have been keeping track of the evolution of graphs since the early 2000s, and publishing the Year of the Graph newsletter since 2018. Graphs have numerous applications that span analytics, AI, and knowledge management. All of the above are built on a common substrate: data.