RAG Development services
The difference between a useful AI and a confident hallucination is grounding. RAG makes the AI answer from your documents, your policies, your knowledge base, your data, with citations, not invention. It's how you get AI that can be trusted.
What we build with rag
Document ingestion
Your PDFs, docs, site content and records processed into a searchable knowledge base.
Retrieval that finds the right thing
Semantic search tuned to actually surface the relevant passage, the hard part of RAG done properly.
Grounded answers
The AI answers from retrieved sources and cites them. You can verify, not just trust.
Continuous updating
The knowledge base stays current as your content changes, not a frozen snapshot.
How we work
Discovery
We map how the work actually moves today, tools, handoffs, bottlenecks, before proposing anything.
Scope & fixed quote
You approve a written scope and a fixed price. The number on the proposal is the number on the invoice.
Design
Screens, flows and structure designed around the people who'll use them, not a generic template.
Build in weekly increments
Working software you can click through every week. No six-month black box.
Test & launch
Real-data testing, staged rollout, data migration and team walkthrough before go-live.
Maintain & improve
Post-launch support included, then ongoing maintenance or the next phase when you're ready.
Technologies we work with
Where rag fits
- Internal knowledge assistants
- Customer-facing accurate Q&A
- Document-heavy research workflows
Relevant work
More ai development services
- AI Development overview : the full ai development practice.
- AI Chatbot Development : Chat trained on your business: site, WhatsApp, in-app.
- AI Agent Development : Autonomous agents that take actions, not just chat.
- LLM Development : Large language model features built into your product.
- AI Integrations : AI capabilities wired into software you already have.
- AI-Powered Application Development : Products where AI is the core, built to survive production.
Related services
- AI Automation : The follow-ups, data entry and handoffs your team does by hand, automated.
- Custom Software Development : Internal systems, portals and tools built around your actual workflow.
- SaaS Development : Subscription products from MVP to multi-tenant scale.
- Web Development : Marketing sites, web applications and portals: fast, accessible and built to rank.
Frequently asked questions
Why RAG instead of fine-tuning?
RAG keeps the AI grounded in current, citable data, fine-tuning changes behavior, RAG provides knowledge. For answering from your documents, RAG is usually the right tool.
How accurate is it?
When the answer is in your documents, it finds it and cites it. When it isn't, the system says so. That's the difference between grounded AI and hallucination.
Need rag development?
Tell us what you're building or what should stop being manual. We'll scope it and quote it fixed. Reply within one working day.