Knowledge Base Agent

This agent retrieves and delivers relevant information from knowledge bases, giving users accurate answers and contextual support. It uses NLP and Retrieval-Augmented Generation (RAG) to interpret queries and pull precise answers from repositories such as FAQs, product documentation, and policy manuals. It integrates with systems like Confluence and SharePoint through secure APIs, supports multi-turn conversations with follow-up questions, and can summarize lengthy documents or give step-by-step guidance.

The agent also suggests relevant articles based on user behavior and collects feedback to keep the knowledge base current. It is built for customers seeking self-service support and for employees who need quick access to internal policies, procedures, and technical documentation, including customer service, HR, and IT support teams. It aims to reduce support ticket volume and wait times, increase productivity, and improve data quality and consistency for compliance and risk management.