All work
A growth-stage SaaS platformCustom AI Applications

A knowledge assistant that answers from 40k internal docs

A grounded RAG assistant that gives go-to-market teams instant, cited answers from a sprawling knowledge base.

9hrs
saved per rep weekly
94%
answer accuracy
2 wks
to production

The challenge

Reps wasted hours hunting through 40,000+ scattered documents, and answers were often outdated or wrong.

Our approach

  1. 01Built an ingestion pipeline with chunking, metadata, and access control.
  2. 02Implemented hybrid retrieval tuned to the domain.
  3. 03Generated cited answers with a refusal path for low confidence.
  4. 04Set up continuous evaluation to track answer quality.

System architecture

IngestDoc pipeline + metadata + ACL
RetrieveHybrid search (vector + keyword)
GenerateGrounded answers with citations
EvaluateAutomated quality scoring
It feels like every rep got a senior teammate who has read every doc we've ever written.
Head of Revenue Operations · Growth-stage SaaS

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