Unstructured data — such as images, video ... indexing is technically different from that of relational databases. Unsurprisingly, developing vector indexes takes specialized expertise.

While traditional relational databases such as Postgres ... store and process data in the form of vector embeddings, which convert text, documents, images, and other data into numerical ...

Conventional relational database ... In contrast, vector databases specialize in storing and retrieving unstructured data, such as images, audio, videos, and text, through high-dimensional ...

The Challenge of the Semantic Gap in Traditional Databases Traditional relational ... with millions of images. This combination of speed and accuracy is a key advantage of vector databases.

While traditional relational databases are built on rows ... like words, sounds or images. AI inference then compares vector-embedded data using the model and newly supplied queries.

He argued that while pgvector had the massive community of PostgreSQL behind it, it was reimplementing vector search in the longstanding relational ... unstructured data – images, audio, PDFs ...

Oracle said today that vector search can now be used to securely combine searches for documents, images, and other ... Developers can now read and write relational data using JavaScript Object ...

Databases, by contrast, are growth drivers. Relational databases ... machine learning models.” As such, vector databases prove useful in things like image search or searching within video ...

“What we’ve seen through industry trends is that AI is not just leading to a ballooning of vector data but relational data ... this — and it pays off.” Image Credits: Planetscale To ...