Enterprise TechRAG System

Enterprise RAG Knowledge Base: 85% Faster Information Retrieval

Key Result

85% reduction in internal search time

The Challenge

A 10,000-employee enterprise had institutional knowledge scattered across 40+ systems including SharePoint, Confluence, Slack, Google Drive, and various internal databases. Employees were spending over 2 hours daily searching for information needed to do their jobs.

The IT helpdesk was flooded with "where do I find X?" tickets, consuming support resources on questions that should have been self-service. New employees took months to become productive due to the fragmented knowledge landscape.

The company needed a unified search experience that could surface relevant information from any source while respecting existing access controls and providing clear source attribution for every answer.

Our Solution

AINinza built an enterprise RAG system that ingests documents from all 40+ sources with role-based access control mirroring existing permissions. The system provides semantic search with citation tracking and confidence scoring, ensuring every answer links back to its authoritative source.

Automatic source attribution and confidence scoring give users trust in the answers they receive. The system handles 12,000+ queries per day with sub-second response times, and continuously updates its index as source documents change.

Tech Stack

LangChainPineconeAzure OpenAISharePoint APIConfluence API

Results

85%

Faster Information Retrieval

60%

Fewer Support Tickets

12K+

Queries Per Day

Project Timeline

1

Source Audit & Connector Development

4 weeks

2

RAG Pipeline & Vector Indexing

5 weeks

3

Access Control & Security Review

3 weeks

4

Enterprise Rollout & Training

2 weeks

Related Case Studies

70% ticket deflection

E-commerce AI Chatbot

Read Case Study

95% diagnostic accuracy

Healthcare AI Diagnostics

Read Case Study