RAG & AI Systems Design

What this service covers

Many AI projects fail because the system around the model is weak: unclear problem framing, messy data, weak retrieval, no evaluation, and interfaces that users do not trust.

This service focuses on designing and building AI systems that are grounded, usable, and measurable.

What you get

• AI system architecture
• RAG pipeline design
• Document processing and retrieval strategy
• LLM workflow and prompt design
• Evaluation plan
• User-facing interface or prototype
• Deployment and handoff notes

Best for

• Teams building documentation assistants
• Organizations exploring internal AI knowledge tools
• Founders needing a technical AI system prototype
• Departments evaluating AI for decision support or student services

Process

We start with the user workflow, not the model. Then we define the data, retrieval path, response behavior, evaluation strategy, and interface that make the system useful in practice.