Enterprise RAG Chatbot
A production-grade Retrieval-Augmented Generation chatbot built for large-scale enterprise document querying, featuring vector search and semantic routing.
01 Objective
To build a highly accurate, low-latency, hallucination-free generative AI assistant that can instantly retrieve and synthesize answers from massive internal knowledge bases.
Eliminate Search Time
Reduce the average time spent searching for internal documents by over 90% across the organization.
02. Problem Statement
Enterprise organizations often struggle with massive knowledge silos. Employees spend hours searching through thousands of PDF documents, confluence pages, and internal wiki sites to find simple answers. Traditional keyword search tools fail to understand the semantic context of the user’s question, leading to frustration, lost productivity, and duplicated effort.
05. Architecture Diagram
