In this article, we will look at some of the ways unstructured data is accessed as if it were structured, or given structure by S3 Select and Snowflake, and database-like products such as MongoDB.

Did you know that over 80% of the data generated today is unstructured? Traditional databases often fall short in managing this type of data efficiently. That’s where vector databases come into ...

It’s like speaking two different languages—one rooted in rigid structure ... Enter vector databases, a new solution designed to handle unstructured data in a way that feels intuitive and ...

Data growth — unstructured data growth ... through these embeddings is a vector database — purpose-built to manage embeddings and their distinct structure. What’s key in the market is ...

“For structured data with straightforward applications, users should stick to traditional relational databases or NoSQL databases. A vector database becomes essential when handling unstructured ...

As a vital infrastructure in the age of AI, vector databases are powerful tools for storing, indexing, and searching unstructured data. With the world’s attention firmly fixed on vector ...

Business information is mostly generated by systems or people. Data from systems is most likely to be structured. In its traditional format, this is most typified by data in relational databases ...

Vector databases store and structure data that LLMs can then ... Text, images, and videos are all examples of unstructured data. Vector databases capture and store the essence of a particular ...

Unlike structured data, which fits neatly into rows and columns in a database, unstructured data is usually in its raw form, often comprising text, images, audio, or video. Because of its complex ...