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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.

Cost at typical volume

Estimated at 50K queries/month

Fine-Tuning$863/mo
Long-Context$1,011/mo
RAG$1,517/mo
Hybrid / RAFT$2,035/mo

Key considerations

  • 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.

Frequently asked questions

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