05 — Knowledge Assistants (RAG)

The answer's in a document nobody can find.

Your manuals, policies, contracts, and internal wikis, made searchable in plain language — answers come with a reference back to the source document, so nothing is invented and everything can be checked.

Where this fits

Common triggers we get called in for

  • New hires (or anyone) ask the same "where do I find X" questions repeatedly.
  • Answers live scattered across PDFs, spreadsheets, and old email threads.
  • A senior person's time is spent answering questions the documentation already covers.
  • Compliance or policy questions need a traceable, checkable answer — not a guess.
How it works

Two separate phases: indexing, then answering

Scroll the diagram sideways to follow the full flow.

Diagram: in phase one, documents are cut into passages, embedded and stored in a vector index with their source and page. In phase two, a question retrieves and re-ranks passages, and the model answers strictly from those — returning a citation, or "I don't know" when nothing relevant was found.

Answers can only be as good as the source documents. Where the documentation contradicts itself, the assistant surfaces that rather than picking a side.

Example

What this looks like in practice

Illustrative pattern — not a named client result

Internal policy assistant

A typical scope: your policy documents, SOPs, or product manuals are indexed, and staff can ask a question in plain language and get an answer with a citation back to the exact document and section — with the assistant explicitly instructed to say "I don't know" rather than guess when the answer isn't in the source material.

Question asked
Relevant document found
Answer + source citation

Have documentation nobody actually reads?

Bring a sample and we'll tell you honestly whether this is worth building.

Book a free discovery call
Mevera AssistantUsually replies in seconds
Hi — tell me about one process at your business that eats up time, and I'll tell you how AI could help and what the next step would look like.
AI-generated, may be imperfect · chats aren't stored · messages are sent to Claude (Anthropic) to reply