RAG-Based Knowledge Base for Enterprise

Type: B2B · Enterprise AI · Knowledge Management

1. Executive Summary & Impact Metrics

What I built: An RAG-based knowledge center for whole enterprise to speed up search for answers.

Top Metrics:

📉 Reduced time spent on information Search - average 45 mins daily

🎫 Reduce knowledge silos within the organisation - e.g. Technical to Cx support

Skills	Explaination	Reference
AI System Architecture	Designing a system with input/output guardrails, error handling etc., for low cast and latency and best user experience.	Product & AI Strategy
Technical Tradeoff & Cost Optimisation	Tradeoff for optimising system complexity, latency and user trust.	Execution, UX & Safety Guardrails

Who is the user?

This tool has been designed for all the employees of an organisation.

What's broken today?

Currently an average knowledge employee spends 1.5-2.5 hrs daily on information search.
Different teams suffer from information silos as every team has their own language. e.g., Tech teams documents are difficult for non-tech Customer support team

Why now?