Looking back at the 5 biggest AI lessons of 2025

The experience clarified something essential for the team: AI needed to be integrated far more deeply into the database itself to be reliable, predictable, and scalable.Data had to move through multiple systems before reaching the model, and updates required manual intervention. The entire setup depended on fragile connections that could break at any moment. For a database company, the irony was hard to miss.In early 2024, database company RavenDB explored building an AI assistant for its documentation in c ...