RAG Knowledge BaseTimeline: ~8 weeks
Internal Policy Knowledge Base
Policy knowledge base — natural language search for rules, processes, and guides
RAGVector SearchEnterprise KB
80%
Self-service rate
-60%
HR repeat questions
Minutes → seconds
Search time
Background
Policies scattered across systems — employees struggled to find rules, HR answered the same questions repeatedly.
Core Challenge
Policies lived in many systems — employees couldn't find answers, HR repeated the same replies, outdated docs lingered after updates.
Our Approach
RAG knowledge base with auto chunking, natural language Q&A, role-based access, and admin tools for versioning and feedback loops.
What We Did
- ·RAG knowledge base with PDF/Word upload and automatic chunk indexing
- ·Natural language Q&A for policy clauses and process guides
- ·Role-based access control per department
- ·Admin panel for document updates, query logs, and feedback loops
Tech Stack
PythonRAG / Vector DBNext.jsPostgreSQL
Outcome
80% self-service query rate, 60% fewer HR repeat questions, search time from minutes to seconds.