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RAGAIEnterprise

RAG Chatbot for Enterprise Knowledge Management

Built a retrieval-augmented generation chatbot that leverages company internal data to provide accurate, context-aware answers to employee queries.

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RAG Chatbot Dashboard

Project Overview

A large enterprise needed to improve internal knowledge sharing and reduce support ticket volume. Employees were spending significant time searching through documentation and asking repetitive questions.

We built a retrieval-augmented generation chatbot that indexes the company's internal documentation, policies, and procedures, enabling employees to get instant, accurate answers to their questions 24/7.

Key Results

70%

Reduction in support tickets

4.8/5

User satisfaction rating

24/7

Availability

Our Solution

Knowledge Base Integration

Indexed and connected the chatbot to all internal documentation, policies, and procedures, ensuring responses are always grounded in official company information.

Context-Aware Responses

Implemented RAG technology to provide highly relevant, context-aware answers that cite specific sources, building employee trust in the system.

Continuous Improvement

Set up feedback loops and analytics to continuously improve response quality and identify gaps in the knowledge base for regular updates.

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