What it is: The RAG (Retrieval-Augmented Generation) Module is a ready-to-deploy application that supercharges your customer support team. It connects to your database of historical support tickets and uses AI to provide intelligent, context-aware assistance for answering new, incoming queries. 

When a new ticket arrives, our module uses RAG to instantly search your entire history of answered tickets to find previous questions that are semantically similar. It then feeds the new question and the most relevant historical answers to an LLM, which generates a high-quality, accurate, and consistent suggested reply. 

The Business Problem it Solves: Support teams are under constant pressure to respond quickly and accurately. As a team grows, it becomes difficult to maintain consistency, response times get longer, and senior staff spend too much time answering the same repetitive questions. This module solves that problem by turning your past support work into an expert knowledge base that actively helps your team. 

Key Features: 

• AI-Suggested Replies: Drastically reduce response times by providing your support agents with a well-written, context-aware draft reply for every new ticket. 
• Knowledge Consistency: Ensures every agent provides the same, correct answer to common questions by leveraging the "best" responses from your own history. 
• Reduced Training Time: New team members can become productive faster, as the RAG Module acts as an expert co-pilot, guiding them with a history of proven solutions. 
• Intuitive Interface: The module provides a clean, ready-to-use front-end where agents can view incoming tickets, see the AI-suggested reply, and review the similar past tickets used to generate it. 
• Multi-Model Comparison: Test and compare suggested replies from different leading LLMs side-by-side. This allows you to determine which model offers the best tone, accuracy, and cost-effectiveness for your specific support scenario.