Designed and deployed multi-domain RAG chatbots fine-tuned with LoRA at Bain & Company. Integrated with n8n, LangGraph, and CrewAI for workflow orchestration and multi-agent collaboration, using MCP for context exchange across enterprise systems.
This project involved building sophisticated AI-powered chatbots that could operate across multiple business domains at Bain & Company. The solution leveraged Retrieval-Augmented Generation (RAG) combined with fine-tuned Large Language Models using Low-Rank Adaptation (LoRA) for efficient model customization.
Key technical implementations: • Multi-domain knowledge base integration using vector databases • Agent orchestration with CrewAI for complex multi-step workflows • n8n integration for enterprise system connectivity • MCP (Model Context Protocol) for secure context exchange • Real-time performance monitoring and optimization • Scalable deployment using Docker and Kubernetes
The system achieved significant improvements in response accuracy and reduced manual processing time by 60% across various business functions.