Project Overview
This project addresses the challenge of managing high-volume customer inquiries by creating an intelligent, automated FAQ support system. It integrates a powerful workflow automation tool (n8n), a high-performance vector database (Pinecone), and advanced AI models (like ChatGPT) to deliver instant, accurate, and context-aware responses 24/7.
The system works by ingesting and vectorizing an entire knowledge base—such as system documentation and product FAQs—into Pinecone. When a user asks a question on the website, an n8n webhook captures it, the AI agent performs a semantic search against the vector database to find the most relevant information, and then generates a natural, easy-to-understand answer. This ensures that customers receive consistent, high-quality support. Furthermore, the system is enhanced with proactive engagement features, using ElevenLabs to initiate automated voice calls for scheduling meetings or follow-ups, creating a seamless and efficient customer support experience from start to finish.
Application Showcase
Key Features
- Knowledge Storage: System documentation is stored in Pinecone for efficient semantic search.
- Webhook Endpoint: An n8n webhook receives user questions from the Q&A page.
- AI-Powered Search: An AI Agent searches Pinecone to find the most relevant answer.
- AI Voice Call: ElevenLabs places a call to the customer to schedule meetings.
- Automated Response: The system automatically sends the answer back to the user.
- Live Integration: The system is accessible from the website's Q&A section.
Solutions
- Utilized Pinecone vector database for fast, accurate semantic search.
- Implemented public webhooks in n8n to route queries from the website.
- Used AI-powered semantic matching for contextually accurate responses.
- Automated the entire workflow with n8n for instant answers.
- Deployed a live, interactive Q&A system that learns from user interactions.