/ AI Integration
RAG Knowledge Base System
Integrated internal documents into an AI Q&A platform, significantly reducing employee search time.
Background
The client was a mid-size manufacturing company with extensive SOP documents, specification manuals, and historical records. Employees had to manually search through files for every query, resulting in extremely low efficiency.
Solution
- Built a RAG (Retrieval-Augmented Generation) pipeline
- Vectorized documents and stored them in a vector database
- Provided a natural language query interface on the frontend
- Integrated with the company's existing SSO system
Results
- Query time reduced from an average of 15 minutes to 30 seconds
- Employee satisfaction significantly improved
- System ran for 3 months post-launch with zero incidents
