Projects
Network Operations RAG.
Problem Statement:
Network operations teams need intelligent assistance for troubleshooting and operational queries using internal documentation
Objective:
Create production-grade RAG-based chatbot on Azure for network operations department with feedback loop optimization
Process Pipeline:
- Network operations documentation chunking and tokenization
- FAISS vector database implementation
- Llama2 fine-tuning for domain-specific responses
- Azure production deployment with drift monitoring
- RLHF feedback loop integration
Technologies & Models:
RAG, LangChain, FAISS vector DB, Llama2, Text & Vector Embeddings
Key Outcomes:
Production deployment on Azure, RLHF feedback integration, Drift monitoring
Intelligence • Architecture • Global Scale