Vector Databases: Innovating Data Management in the AI Era

The rise of artificial intelligence (AI) and large language models is driving a revolution in data management.

A key enabling technology is vector databases, which store, index, and search high-dimensional vector representations of complex data like text, images, and audio.

According to Gartner, by 2026 over 70% of generative AI natural language processing use cases will leverage vector databases to “ground” their AI models. But what makes vector databases different from other types, and do you need to change your database engine to harness these capabilities?

In this white paper, you’ll learn:

• What vectors and vector databases are
• How vector databases power AI applications like semantic search, recommendations, and anomaly detection
• The landscape of traditional databases adding vector support vs. specialized vector database solutions
• A real-world case study showing vector search in action
• Key challenges and considerations for vector database adoption
• How to accelerate your vector database journey with an experienced partner

Get the facts on this critical data management technology for the AI era. Fill out the form to download your vector database guide now.