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2025-11-12/5 min/14 weeks/Meridian RAG

Meridian RAG: knowledge that answers back

How a 35-person consultancy stopped losing hours in SharePoint and started getting cited answers in Slack.

Duration

14 weeks

Team

2 engineers · 1 designer part-time

Stack

Python · OpenAI · pgvector · Next.js · Azure

The client had eight years of project memory locked in SharePoint folders, Confluence pages, and scanned PDF drawings. Senior engineers knew where things lived. Everyone else pinged them on Slack and waited.

We built a private RAG stack over their corpus: hybrid retrieval (vector + keyword), strict role-based access, and answers that always show the source chunk. Ingestion runs on a schedule so new SOPs and drawing packs show up without a manual upload ritual.

Day-to-day use is boring in the best way — a Slack bot and a small web console. Ask “what torque spec did we use on line B?” and get a reply with links, not a scavenger hunt.

Within the first month after go-live, “where is that file?” messages dropped sharply. First useful answer usually lands in under eight seconds. The firm kept their data inside their tenancy; we did not bolt a public chatbot onto confidential partner docs.

Architecture

Diagram · Query path

Sources

SharePoint · Confluence · PDF

Ingest

chunk · embed · ACL tags

Index

pgvector + keyword

↓

Ask

Slack / web

Retrieve

hybrid + filters

Answer

cited response

  • Sources→Ingest
  • Ingest→Index
  • Ask→Retrieve
  • Index→Retrieve
  • Retrieve→Answer

Timeline · what shipped when

  1. W1–W2

    Discovery & data map

    • Audited SharePoint / Confluence / PDF packs (~120k pages equivalent)
    • Defined ACL model by practice area and partner NDAs
    • Chose hybrid retrieval + citation UX
  2. W3–W6

    Ingestion & index

    • Connectors for SharePoint + Confluence
    • PDF drawing OCR / chunking pipeline
    • pgvector index + keyword fallback
  3. W7–W10

    Assistant & access

    • Answer API with source citations
    • Slack bot + web console
    • SSO + role checks on every query
  4. W11–W14

    Pilot & harden

    • Pilot with 12 engineers, prompt / eval loop
    • Latency tuning (p95 under 8s)
    • Runbooks + handoff training

Delivered

  • Private RAG service in client Azure tenancy
  • Scheduled ingestion jobs + dead-letter monitoring
  • Slack bot and internal web console
  • Admin ACL panel for practice leads

Impact

  • ~70% fewer ‘where is that file?’ Slack pings in pilot team
  • Median first useful answer under 8 seconds
  • Seniors stopped being the default search engine

Project

Meridian RAG

First answer in under 8s · ~70% fewer ‘where is that file?’ pings

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