Enterprise Policy & Documentation RAG Assistant
Distributed operational teams spend hours manually searching fragmented PDF manuals, SOPs and policy updates to resolve compliance and service queries.
Design a permission-aware Retrieval-Augmented Generation (RAG) architecture with strict citation grounding and role-based document filtering.
Built an ingestion pipeline with semantic chunking, hybrid vector + keyword retrieval, and a web copilot interface that links every answer to exact paragraph sources.
Representative target outcome: Streamlined internal knowledge discovery with verifiable source attribution and zero ungrounded responses.
