AI 智能体 vector-search-error-handling 更新于 2026-10-31

Vector Search · 错误处理规则

Error-handling rules for Vector Search: classification, typed codes and single-point mapping to user outcomes.

✓ 应当这么做

✓ Classify failures once: expected (validation, not-found) vs unexpected (bugs, dependencies down)
✓ Return typed errors carrying a stable code plus human-readable context
✓ Map errors to user-visible outcomes at the outermost layer only

42 篇

Vector search rules: chunking strategy, recall evaluation and index rebuild path

Feature store rules: point-in-time correctness and train/serve parity

Skill design rules: narrow triggers, explicit boundaries and verifiable outputs

Tool-call rules: server-side authorisation and deny-by-default allow-lists

Memory rules: scoped retrieval, expiry and user-visible deletion

RAG rules: citation-grade retrieval and evaluated recall before shipping