Enterprise RAG:
Unlocking Knowledge
Deployed a secure, internal RAG (Retrieval-Augmented Generation) system for a media conglomerate, allowing 500+ employees to instantly query decades of proprietary research and data.
The Challenge
The organization had a "knowledge silo" problem. Valuable insights were buried in PDFs, Slack threads, and legacy databases. Employees spent hours searching for information that already existed, leading to duplicated work and slow decision-making.
The Solution
- 1
Unified Vector Database: We ingested 12TB of unstructured data into a secure vector store, making it semantically searchable.
- 2
Custom Chat Interface: Built a "Corporate GPT" that cited sources for every answer, building trust with users.
- 3
Role-Based Access Control: Ensured sensitive HR and financial data was only accessible to authorized personnel.