RAG Agent - AI-powered Support & Sales Platform

IntelliAssist AI needed an advanced AI agent platform that could be trained on organizational data to provide accurate support and sales assistance. The challenge was creating an AI system that could understand company-specific information while maintaining data privacy and enabling seamless human handoffs.

We developed a sophisticated RAG (Retrieval-Augmented Generation) agent platform that combines AI capabilities with organizational knowledge. The system includes data ingestion, AI training, human handoff workflows, and continuous learning capabilities.

• 
• 

Solution & Results:

Our team built an advanced AI platform using Python with FastAPI, LangChain for AI workflows, and vector databases (Pinecone) for knowledge retrieval. We implemented transformer models (GPT-based), created secure data processing pipelines, and developed seamless handoff systems to human agents. The platform features real-time monitoring, feedback loops, and continuous training capabilities.

The platform delivered exceptional performance:

• Achieved 92% accuracy in support responses
• Reduced support ticket volume by 65%
• Decreased average response time from 2 hours to 30 seconds
• Maintained 100% data privacy compliance
• Increased customer satisfaction scores by 40%
• Trained on 50,000+ organizational documents

The platform continues to evolve with multilingual support, emotion detection, and predictive issue resolution capabilities.

• Share This Project: