Organisations are rushing to build internal AI tools that let teams query their own data. Yet many projects stall when the system returns empty or unreliable results. One of the most common and least understood, culprits is the vector index. If your engineering logs show warnings such as “No Atlas vector index named ‘vec_idx’. Skipping. Vector search returned no candidates”, your platform is likely missing a core building block. The issue isn’t your data or your AI model, it’s how you’ve set up...