AI Knowledge & Support Agent Built

AI Knowledge & Support Agent

Built an AI knowledge and support system designed to help users get answers from a controlled business knowledge base rather than relying only on general AI knowledge. The project explored a Retrieval-Augmented Generation (RAG) workflow where business documents and information can be processed, stored as searchable knowledge, retrieved when relevant, and used to provide more grounded AI responses. The architecture demonstrates how AI can be connected to an organization's own information to support customer questions, internal knowledge access and repetitive support tasks. Core workflow: Knowledge Sources → Processing & Embeddings → Vector Database → Retrieval → AI Response Key capabilities:

Business knowledge retrieval

RAG-based AI responses

Document/knowledge processing

Vector search with Pinecone

AI-powered question answering

Knowledge-grounded responses Potential applications:

Customer support

Internal company knowledge

SaaS support

E-commerce

Education

Professional services Project type: AI/RAG portfolio engineering project.