HR / People Ops

Employee Onboarding Assistant AI Architecture

Compare RAG, fine-tuning, long-context, and hybrid approaches for employee onboarding assistant at 5K queries/month.

Top approaches

#1 Best fit

Long-Context

Low volume and modest corpus make long-context the simplest option.

#2 Runner-up

RAG

Better once corpus exceeds 200 documents or HR policies change weekly.

#3 Alternative

Fine-Tuning

Only if brand voice consistency is a top priority.

Estimated at 5K queries/month

Long-Context$101/mo

RAG$201/mo

Fine-Tuning$296/mo

Hybrid / RAFT$379/mo

1New hires ask the same questions — use prompt caching on your onboarding handbook for major cost savings.
2Role-specific content should be filtered — not all employees see all policies.
3Evaluate whether long-context is sufficient before investing in vector infrastructure.

回答 9 个问题 — 用 Employee Onboarding Assistant 默认值预填 — 以获得确定性架构推荐、成本交叉图和 8 页 PDF 报告。