Agentic AI for enterprise IT: 80% automated ticket resolution via RAG + tools + DevOps pipeline. LangChain/LangGraph | Python | Docker.
Autonomous workflow:
- Perceive: Docs → ChromaDB RAG
- Reason: LLM planning (Groq)
- Act: APIs (Jira/Email)
- Deploy: GitHub Actions → Cloud
Live Demo: [Post-Stage 6]
As IT Agent:
- Ingest docs → Vector DB
- Analyze ticket → Match solutions
- Auto-resolve (APIs)
- Escalate if needed
- Log for audits
As DevOps: 6. CI/CD deploy
graph TD
A[Ticket Input] --> B[Retriever Agent<br/>RAG Query]
B --> C[Planner Agent<br/>LangGraph]
C --> D{Confidence >80%?}
D -->|Yes| E[Executor Agent<br/>API Tools]
D -->|No| F[Human Escalate]
E --> G[Resolution Email]
G --> H[Monitor & Reflect]
F --> H
style C fill:#f0f8ff