Cross-industry

Internal Docs Assistant AI Architecture

Compare RAG, fine-tuning, long-context, and hybrid approaches for internal docs assistant at 50K queries/month.

Top approaches

#1 Best fit

RAG

Docs update constantly; citations build trust; corpus is large.

#2 Runner-up

Long-Context

Viable for small teams with <200 docs at low volume.

#3 Alternative

Hybrid / RAFT

Adds style consistency for brand-sensitive orgs.

Estimated at 50K queries/month

Fine-Tuning$863/mo

Long-Context$1,011/mo

RAG$1,517/mo

Hybrid / RAFT$2,035/mo

1Chunk by section headers, not fixed token counts, to preserve document semantics.
2Access-control lists must be respected — embed per permission group or filter post-retrieval.
3Stale embeddings are the #1 support ticket; automate nightly re-embedding of changed docs.

回答 9 个问题 — 用 Internal Docs 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。