Home / Services / RAG & Knowledge
Capability

Your institutional memory, queryable.

Retrieval-augmented generation over the documents that actually run your business — policies, SOPs, contracts, product specs, regulator circulars. Answers come back with citations and confidence. Auditable in regulated industries.

CitedEvery answer linked to source
GovernedPer-role access & redaction
GroundedNo hallucinated policy
Build via Integration See a demo
Architecture
How it actually works.
No magic. A well-designed pipeline where every step is observable and tunable.
Sources PDFs · SharePoint Drive · Confluence Chunk + enrich Structure-aware Metadata + ACL tags Embed + store Vector + keyword pgvector · Qdrant Hybrid retrieve BM25 + vector rerank · filter Generate + cite Grounded LLM Citation enforcement Access control · PII redaction · Audit log Continuous eval · Citation faithfulness · User feedback loop
What changes
Knowledge work, before and after.
Before

Institutional knowledge is tribal.

  • Policies scattered across SharePoint, email, WhatsApp groups.
  • Same question answered differently by different people.
  • New hires take 3–6 months to become productive.
  • Compliance can't prove which policy version was in effect when.
  • Senior staff interrupted 20× a day to answer repeat questions.
After

Every answer is cited, consistent, governed.

  • One query surface: chat, Slack, inside your app, via API.
  • Answers link back to the exact page and version of source.
  • Ramp time cut 40–70%. Self-serve on day one.
  • Full audit trail: who asked what, what the system said, which source.
  • Senior time reclaimed for work only they can do.
Typical stack
Proven, not exotic.
pgvector
Qdrant
OpenAI
Anthropic
Llama 3
Cohere rerank
LangGraph
LlamaIndex
Postgres
Redis
Docker
OpenTelemetry
How we deliver this
The same capability, three ways.
In an Audit

Feasibility & readiness

We inventory your content sources, assess quality and access control, identify the top 2–3 high-value query patterns, and deliver a buildable spec with cost and timeline.

In an Integration

Production RAG system

Full pipeline built: ingest, chunk, embed, retrieve, generate, cite. Guardrails, evals, governance, observability. 8–12 weeks end-to-end. Plugged into Slack, your app, or exposed as API.

In a Transformation

Enterprise knowledge platform

A federated knowledge layer across business units, multilingual (English, Swahili, French), with role-based access, domain-specific retrieval agents, and full regulatory audit.

In production
What it looks like.
A real query, a real answer, with sources.
knowledge.yourcompany.co.ke — Compliance policy assistant
You asked
What's the CTR threshold for triggering enhanced KYC under our current policy?
Answer · 180ms
Per your current AML Policy v3.2 (§4.2), enhanced due diligence is triggered for cash transactions (CTR) above KES 1,000,000 per single transaction or KES 3,000,000 aggregate within 7 days. Effective since 2024-11-01.

AML Policy v3.2 · §4.2 CBK Circular 2024/07 KYC SOP §2.1
Next step
See it on your own documents.
We'll index a subset of your content in a secure sandbox and show you retrieval quality on your real questions — before you commit.
Start with Integration Book a scoping call