🧠 What is Agentic RAG?
- Task decomposition & tool invocation
- Iterative reasoning & state tracking
- RAG + Agent Planner = Goal-driven bots
🧩 Architecture
- User UI: Slack, Teams, Web
- Agent Orchestration: LangChain, OpenAI Functions
- Retriever: ElasticSearch, Pinecone
- LLM + Memory: GPT, Claude, Titan
- APIs: CRM, HRMS, SAP
✅ Problems Solved
- Inaccurate answers → Enterprise SOPs
- No automation → Ticketing workflows
- No personalization → Memory & context
🌟 Departmental Use Cases
- IT: Automated L1 helpdesk
- HR: Leave queries, onboarding
- Sales: Lead qualification
- Legal: Clause summaries
📈 Business Benefits
- Automate repetitive queries
- Accelerate decisions
- Lower L1 support costs
- Compliance-first knowledge access
🚀 Real-Life Example: HR Offboarding Assistant
Scenario: An intelligent agent autonomously handles HR offboarding without human intervention:
- Checks exit policies from HRMS
- Deactivates accounts automatically
- Shares clearance forms
- Notifies stakeholders
🚀 Outcome: Zero human intervention, complete audit trail, faster offboarding
