Retrieval-augmented solutions that connect enterprise data to LLMs.
GG Tech's RAG & LLM Integration service builds retrieval-augmented solutions that connect your enterprise data to large language models. Models answer questions using your own documents and data. As a result, AI outputs are grounded in your company's actual knowledge.
| Typical team | 1 AI engineer + 1 backend developer |
|---|---|
| Calendar band | 4–12 weeks |
| Phase split | 20% data source analysis · 40% pipeline development · 25% evals & quality · 15% rollout |
What grows the budget
Signs of underbudgeting
These are GG Tech Teknoloji planning bands, not a quote — we do not publish prices. Every project is different, so the bands are deliberately wide; they assume a senior, focused team and typical scope, and your project is estimated individually.
What we deliver
Retrieval-augmented solutions that connect enterprise data to LLMs.
Our team combines domain expertise, modern engineering, and research-driven design to build solutions that scale. We work in focused sprints with clear milestones and measurable outcomes.
AI Strategy & Advisory
Assess AI use cases and build an ROI-driven roadmap.
Multi-Agent Orchestration
AI agent teams that collaborate on complex tasks.
Voice AI Agents
Real-time, low-latency voice agents and call automation.
AI Infrastructure & Evals
Model deployment, observability, and automated quality testing.
Agentic Workflow Automation
Speed up internal processes with agent-driven automation.
AI System Audits & Code Review
Security, accuracy, and cost analysis of your existing AI systems.
Custom AI Agent Development
Domain-specific agent systems built from scratch.
AI Governance & Compliance
Policies, guardrails, and audit workflows to keep AI systems safe, explainable, and regulation-ready.