Graph databases and social graph Graph databases are the most scalable, high-performance way to query and store highly interconnected data. They help improve intelligence, predictive analytics, social network analysis, and decision and process management – which all involve highly connected data with lots of relationships. A relevant use case for graph databases is the social graph. more

In the era of big data, large language models (LLMs) are becoming increasingly important for tasks like question answering, document analysis, and chatbot development. However, traditional LLMs can often struggle with factual accuracy, reasoning, and handling complex information. more