Custom RAG
Custom RAG systems for any business—grounded answers from your own data
For founders, operators, and teams in any industry who need answers grounded in their own documents—not generic chatbot guesses.
Konuke designs and builds retrieval-augmented generation (RAG) tailored to your documents, tools, and permissions—so employees and customers get accurate, citeable answers instead of generic AI guesses.
How teams use custom RAG
Customer support
Instant answers from policies, product docs, and past tickets—with citations your agents can verify.
Sales & account teams
Battle cards, pricing rules, and case studies on demand without hunting through shared drives.
Operations & compliance
SOPs, contracts, and regulatory text surfaced with clear sources for audit-friendly workflows.
Internal knowledge
Onboarding playbooks, engineering runbooks, and HR policies—searchable by the people who need them.
What we build
- Architecture and data-flow diagram for your sources and models
- Ingestion pipeline(s) with refresh strategy and failure handling
- Retrieval + generation stack with citation requirements
- Access control model (tenant, team, or document-level as needed)
- Starter eval suite and quality metrics you can run before each release
- Handoff documentation and optional office hours during launch
Built for trust, not demos
Your knowledge, not the internet
Answers come from your approved sources—updated on a schedule you control, not from stale uploads or model hallucinations.
Retrieval you can explain
Hybrid search, reranking, and citations so users see why an answer was returned and can open the source.
Security by design
Access control, audit-friendly logging, and data boundaries chosen for your compliance story—not bolted on after launch.
Typical path to production
Phase 1 — Fit & inventory
30-minute fit call plus async source review: what to index, who may query it, and success metrics for a pilot.
Phase 2 — Pilot RAG
A narrow slice of content and users—prove answer quality, latency, and security before widening scope.
Phase 3 — Production & handoff
Hardening, monitoring, eval gates, and documentation so your team can operate and extend the system.
Pricing and packaging
Engagements typically start at $12k for a focused two-week intensive.
Engagement modules
Most businesses start with discovery plus a pilot lane, then expand sources and users once quality and security are proven.
Discovery & scope
Map your knowledge sources, users, and risk profile so the RAG answers the questions your business actually asks.
- Source inventory: docs, wikis, tickets, CRM, contracts, and APIs
- User journeys: who asks what, and what “good” looks like
- Data classification and access boundaries before build
Custom RAG build
End-to-end retrieval systems tuned to your content: ingestion, chunking, embeddings, retrieval, and grounded generation.
- Pipelines for your formats (PDF, HTML, Slack, Notion, databases)
- Hybrid search, reranking, and citation-backed answers
- Prompting and guardrails aligned to your tone and policies
Secure rollout & ops
Ship something your team can trust: authz, logging, evals, and a path from pilot to production.
- Role-based access so people only retrieve what they may see
- Eval sets and regression checks when content or models change
- Runbooks for ingestion failures, drift, and incident response
Common questions
▸We already tried ChatGPT on our PDFs.
Upload-and-ask breaks on updates, permissions, and traceability. A custom RAG keeps sources in sync, enforces who can see what, and returns answers with citations your team can check.
▸Our data is sensitive.
We design classification, residency, and vendor choices up front—private models, VPC deployment, or air-gapped options when required. No “send everything to a public API” shortcuts.
▸We are not a tech company.
You do not need an ML team. We deliver a working system and plain-language runbooks so your operators can own day-two ingestion and content updates.
▸How is this different from buying a SaaS RAG product?
Off-the-shelf tools fit generic schemas. Custom RAG fits your sources, auth model, workflows, and quality bar—including integrations your business already runs on.
Ready to scope your RAG?
Book a fit call or send your sources and constraints—we reply within one business day.