When it comes to vector search, it's not just about matching words. Understanding the meaning behind them is equally important. But there are challenges. Sometimes, factors like text meaning, popularity, and recency can lead to results that aren't quite right. This is because vector search isn't always perfect at making precise matches. To fix this, many systems use a technique called re-ranking. This involves using a separate model that processes both the query and the initial results together ...