E-commerce / SaaS

Customer Support Bot AI Architecture

Compare RAG, fine-tuning, long-context, and hybrid approaches for customer support bot at 500K queries/month.

Top approaches

#1 Best fit

RAG

Product catalogue and policies change frequently; citations reduce escalations.

#2 Runner-up

Hybrid / RAFT

Adds brand tone consistency at higher volume.

#3 Alternative

Fine-Tuning

Only if tone consistency is the top priority and docs are stable.

Estimated at 500K queries/month

Fine-Tuning$6,533/mo

Long-Context$10,110/mo

RAG$12,867/mo

Hybrid / RAFT$16,787/mo

1Keep a human escalation path for tier-2 issues; clearly disclose AI assistance.
2CSAT scores drop when citations are missing — always surface the source article.
3Update the embedding index within 1 hour of policy changes to prevent stale answers.

回答 9 个问题 — 用 Customer Support Bot 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。