Hallucination isn’t a bug; it’s a symptom. Large‑language models guess when context is fuzzy. Vector search fixes the context problem by grouping semantically similar passages-even when keywords don’t match.

Inside AU10TIX’s 94 % MTTR Drop

AU10TIX’s network‑operations center once averaged 200 minutes to resolve a ticket. Most of that time was hunting for the right log snippet or architecture diagram. After plugging Unleash into Salesforce Cases, search time collapsed, and MTTR fell to 12 minutes-a 94 % reduction. (unleash.so) Support satisfaction scores followed suit.

Why Unleash’s Vector Engine Wins

• HNSW Index + GPU Acceleration – 50 ms average lookup on millions of vectors.
• Hybrid Rerank – Dense recall meets BM25 precision; no more “close but not quite” snippets.
• Exact‑Chunk Citations – Agents jump straight into the paragraph that solves the issue.

Beyond Support: Sales, HR, and Legal

Guesty’s sales reps pull battle‑cards mid‑call; Chili Piper deflects half of Slack product questions automatically. (unleash.so) Vector search isn’t a backend toy-it’s frontline productivity fuel.