Enterprise assistant that answers from internal PDFs/Confluence using vector search and guardrails. Added analytics on prompts and outcomes.
We developed a cutting-edge AI knowledge assistant that transformed how our enterprise client handles internal documentation. Using advanced RAG (Retrieval-Augmented Generation) technology, the system processes over 50,000 internal documents and provides instant, accurate answers to employee queries. The result was a 28% reduction in support ticket volume and significantly improved employee productivity.
The primary challenge was building a system that could accurately understand and retrieve information from diverse document types (PDFs, Confluence pages, Word docs) while maintaining enterprise security standards. We had to implement sophisticated content filtering to prevent sensitive information leakage and ensure all responses were contextually relevant and factually accurate.
Here are the key features and highlights of this project that showcase our expertise and attention to detail.
We developed a cutting-edge AI knowledge assistant that transformed how our enterprise client handles internal documentation. Using advanced RAG (Retrieval-Augmented Generation) technology, the system processes over 50,000 internal documents and provides instant, accurate answers to employee queries. The result was a 28% reduction in support ticket volume and significantly improved employee productivity.
The primary challenge was building a system that could accurately understand and retrieve information from diverse document types (PDFs, Confluence pages, Word docs) while maintaining enterprise security standards. We had to implement sophisticated content filtering to prevent sensitive information leakage and ensure all responses were contextually relevant and factually accurate.