Have you ever searched for something online, only to feel frustrated when the results didn’t quite match what you had in mind? Maybe you were looking for an image similar to one you had, or trying to ...

Traditional keyword search struggles to meet the demands of modern AI-driven applications. As organizations build systems powered by large language models, semantic search and retrieval-augmented ...

When Pinecone announced a vector database at the beginning of last year, it was building something that was specifically designed for machine learning and aimed at data scientists. The idea was that ...

Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

Developers will have a lot of new features to experiment with following a series of announcements from Oracle at Oracle CloudWorld. The company introduced AI Vector Search, which is a collection of ...

Stop exporting data to external vector stores. Modern semantic search does not have to require a separate vector database. In this live webinar, you will see how to integrate Vertex AI and Cloud SQL ...

Don't buy into the idea that semantic database technologies are just for consumer-facing services such as BBC Online or the semantic Web initiatives embraced by the likes of Best Buy and Cisco. In ...

At IBM Research AI, we built an AI-based solution to assist analysts in preparing reports. The paper describing this work recently won the best paper award at the "In-Use" Track of the 2018 Extended ...

A company like Deloitte is constantly looking for smart hires. Deloitte Belgium is processing more than 20,000 applications every year. Therefore it needs an intelligent recruitment solution ...

Discover how vector databases are transforming search and information retrieval in the age of AI. This practical, five-step guide dives into the architecture, models, and workflows behind ...