Concept Project (Sample Data Showcase)

RAG-Based Knowledge Assistant

An architectural showcase demonstrating how companies with sprawling PDFs, technical runbooks, HR handbooks, and compliance documents can query exact answers in natural language while verifying every claim directly against original source pages.

Problem & Proposed Solution

Traditional keyword search fails when employees ask conceptual questions, while raw LLM chatbots invent plausible-sounding answers not grounded in current internal company files. A hybrid Retrieval-Augmented Generation pipeline pairing semantic vector search with exact keyword matching and role-based document access filters.