Blog

In the rapidly evolving landscape of artificial intelligence, two transformative technologies are reshaping how we approach information retrieval and knowledge management: Retrieval-Augmented Generation (RAG) and Knowledge Graphs. These powerful tools are not just incremental improvements but fundamental reimagining's of how AI systems can understand, retrieve, and generate contextually rich information.

Harnessing Knowledge Graphs and AI for Insight.

In today’s fast-paced data-driven world, speed and efficiency are paramount. At Kobai, we’ve taken data ingestion performance to the next level by harnessing the full power of Databricks.

Knowledge graphs (KGs) have emerged as a powerful tool for enhancing the capabilities of Large Language Models (LLMs) when combined with Retrieval Augmented Generation (RAG). This synergy offers significant benefits in grounding and validating LLM responses, leading to more accurate, contextually relevant, and trustworthy AI-generated content

Data management is a highly challenging task, owing to its massive growth in this digital age. With its expansion, the role of an organization's data layer becomes more critical.

Data is running the business world, and we all know that. However, the real question is: Are organizations making the most out of it?

One of the most frequently used words in almost every organization is "data." Data has been the backbone of analytical decision-making for decades.