Overview
Case study breakdown
Challenge, solution, and impact from this engagement.
Project overview
Developed a secure Retrieval-Augmented Generation (RAG) system to transform internal documents into an AI-powered knowledge assistant.
The challenge of project
-
Employees spent hours searching through scattered documents and reports, causing inefficiencies and delayed decision-making.
What we Built
- Document ingestion (PDF, Word, internal reports)
- Vector database indexing
- Hybrid semantic + keyword search
- Role-based access control
- Secure LLM integration
Impact
- 60% faster knowledge retrieval
- Reduced dependency on manual document search
- Improved employee productivity