AI Application Architecture
Model selection, RAG strategy, agent orchestration, integration patterns. A blueprint that scales from POC to production without rebuilding.
RAG Implementation
Retrieval-augmented generation grounded in your data. Document indexing, embedding strategies, response generation with citations. AI that answers from your knowledge, not general knowledge.
Agent Development
Agents using Azure AI Agent Service. Conversation design, tool configuration, production deployment. Agents that automate real business processes, integrated with your systems.
Fine-Tuning
When foundation models need domain-specific accuracy. Industry terminology, specific output formats, specialized tasks. Better results for your use case.
Fabric Integration
Connect AI Foundry to your Microsoft Fabric data. Agents that query your Lakehouse. RAG applications grounded in governed datasets. AI and data, unified.
Responsible AI
Content safety, bias evaluation, transparency documentation. Configured as standard on every implementation. Your AI applications meet governance requirements from day one.