Why AI Still Hallucinates in 2026 (and How to Fix It)

Do we still need to worry about hallucinations from modern large language models in 2026, or is the problem solved? Arjun Patel from Pinecone explains what a hallucination is, why models make up answers about anything after their training cutoff, and how to fix it by giving your model access to information it wasn't trained on: a web search tool for public information, or a vector database for your users' or company's data. The short answer: models keep getting better, but new data never stops arriving. Grounding answers in a database is still essential in 2026. Learn more: https://www.pine