Information is everywhere in today’s world. AI is of course helping but even the smartest models sometimes struggle to give accurate and meaningful answers. This is where an AI startup CircleMind steps in and it is backed by Y Combinator.
The core work of CircleMind is a method called Retrieval Augmented Generation (RAG) that helps AI pull real-time or specific data when answering questions and not just relying on what it learned during training. Traditional RAG methods often miss the mark as they focus too much on keywords or basic connections and leads to a lot of data but not necessarily the right data.
CircleMind takes a smarter approach and it uses two powerful tools. The tools are knowledge graphs and the PageRank algorithm. Knowledge graphs are like detailed maps of information showing facts as well as how they are connected like a web linking people, places and events.
Then there is a PageRank and a technique that was originally created by Google to rank websites. CircleMind uses it to prioritize the most important and trustworthy pieces of information in a knowledge graph.
Accuracy is everything in areas like healthcare, legal advice or customer support. An AI assistant using the method of CircleMind could provide relevant legal cases and also weigh their importance based on real-world outcomes.
What is exciting about CircleMind is the way it balances old and new ideas. The startup shows that AI’s future isn’t just about bigger models, but it is about smarter systems that truly understand data connections.
There are challenges and these are like ensuring the technology runs quickly and efficiently. But the potential is huge.
