RAG Implementation (Production)

Overview

Stop shipping AI demos that work on launch day and fail by Q2. We build production-grade Retrieval-Augmented Generation systems on your own cloud, with a continuous eval suite that catches regressions before your users do.

Honest about fit

A fit if…

Legal teams — contract Q&A, case research
Healthcare back-office — clinical guideline lookup, claims
Financial services — policy and compliance Q&A
Professional services — proposal and SOW knowledge bases
B2B SaaS — internal docs plus customer-facing help

Not a fit if…

You want a chatbot that takes action in your systems — see Custom Agentic AI
You want to "try RAG" with no defined use case — start with Discovery
You need a black-box SaaS — we build on your cloud, and you own the system

What you get

Concrete deliverables. No hand-waving.

Production RAG system deployed on your cloud (AWS or GCP) via Terraform
Evaluation harness with a gold set and acceptance criteria written before the build starts
Observability stack: LangSmith, Arize Phoenix, or Langfuse — your choice
Per-query token-spend dashboards so you see cost from day one
Permissions enforced at retrieval — no document returned a user couldn't already see
Runbook and handoff session for your engineering team
30-day post-launch warranty: we fix anything that fails our own acceptance criteria