RAG Chatbot with Page Citations
Building an intelligent chatbot that answers questions from internal documentation with precise page citations.
The Challenge
The client needed a way for employees to quickly find answers across thousands of internal policy documents.
The Outcome
Deployed a RAG chatbot that provides accurate answers with page-level citations, reducing support queries by 60%.
Overview
With thousands of pages of internal documentation, employees struggled to find the information they needed. Support teams were overwhelmed with basic queries that could be answered by existing documents.
Our Approach
We implemented a Retrieval-Augmented Generation (RAG) chatbot that indexes all internal documentation and provides accurate, cited answers.
Key Technologies
- Vector embeddings for semantic search
- RAG architecture with citation tracking
- Page-level source attribution for trust and verification
Results
Employees now get instant, accurate answers with direct links to the source pages. Support ticket volume dropped by 60% within the first month.