Solving complex problems with vector databases
The world of data is rapidly changing around us, yet many companies are reacting slowly to the trends. Experts predict that by 2025, 80% or more of all data will be unstructured, but a survey by Deloitte suggests that only 18% of organizations are prepared to analyze unstructured data. This means that the vast majority of companies are not able to utilize the better part of the data in their possession, and it all comes down to having the right tools.A lot of that data is fairly straightforward. Keywords, metrics, strings, and structured objects like JSON are relatively simple. Traditional databases can organize these kinds of data, and many basic search engines can help you search through them. They help you efficiently answer relatively simple questions:To read this article in full, please click here
The world of data is rapidly changing around us, yet many companies are reacting slowly to the trends. Experts predict that by 2025, 80% or more of all data will be unstructured, but a survey by Deloitte suggests that only 18% of organizations are prepared to analyze unstructured data. This means that the vast majority of companies are not able to utilize the better part of the data in their possession, and it all comes down to having the right tools.
A lot of that data is fairly straightforward. Keywords, metrics, strings, and structured objects like JSON are relatively simple. Traditional databases can organize these kinds of data, and many basic search engines can help you search through them. They help you efficiently answer relatively simple questions:
