Custom AIRAG

Custom RAG System

Built a RAG-based knowledge system for a SaaS company. Employees query 50,000+ internal documents using natural language with instant accurate responses.

Client

CloudSync Technologies

Industry

SaaS / Technology

Duration

8 weeks

Custom RAG System
The Challenge

What problem did they face?

CloudSync's knowledge was scattered across Confluence, Google Drive, Slack, and employee heads. New hires took months to ramp up, and even veterans couldn't find critical information quickly.

Our Solution

How did we solve it?

We built a RAG (Retrieval-Augmented Generation) system that indexes all internal knowledge sources and allows employees to ask questions in natural language, getting accurate answers with source citations.

The Results

Measurable Impact

50,000+
Documents Indexed
Unified knowledge
< 2 seconds
Query Response Time
Instant answers
-50%
New Hire Ramp Time
Faster onboarding
-35%
Support Ticket Volume
Self-service answers
It's like having a senior employee who's read every document we've ever created. Our team finds answers in seconds instead of hours, and the accuracy is impressive. Game-changer for productivity.
A

Amanda Rodriguez

CTO, CloudSync Technologies

Tech Stack

Technologies Used

RAG
Vector Database
LLM
Slack Integration
Confluence API

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