Categories: Business Automation, Customer Support, AI, Knowledge Management
This comprehensive workflow enables businesses to build and deploy a custom-trained AI Chatbot in minutes. By combining a sophisticated data scraping engine with a RAG-based (Retrieval-Augmented Generation) chat interface, it allows you to transform website content into a high-performance support agent. Powered by Google Gemini and Pinecone, this system ensures your chatbot provides accurate, real-time answers based exclusively on your business data.
Benefits
- Instant Knowledge Sync - Automatically crawls sitemaps and URLs to keep your AI up-to-date with your latest website content.
- Embeddable Anywhere - Features a ready-to-use chat trigger that can be integrated into the bottom-right of any website via a simple script.
- High-Fidelity Retrieval - Uses vector embeddings to ensure the AI "searches" your documentation before answering, reducing hallucinations.
- Smart Conversational Memory - Equipped with a 10-message window buffer, allowing the bot to handle complex follow-up questions naturally.
- Cost-Efficient Scaling - Leverages Gemini’s efficient API and Pinecone’s high-speed indexing to manage thousands of customer queries at a low cost.
How It Works
- Dual-Path Ingestion: The process begins with an n8n Form where you provide a sitemap or individual URLs. The workflow automatically handles XML parsing and URL cleaning to prepare a list of pages for processing.
- Clean Content Extraction: Using Decodo, the workflow fetches the HTML of each page and uses a specialized extraction node to strip away code, ads, and navigation, leaving only the high-value text content. SignUp using: dashboard.decodo.com/register?referral_code=55543bbdb96ffd8cf45c2605147641ee017e7900.
- Vectorization & Storage: The cleaned text is passed to the Gemini Embedding model, which converts the information into 3076-dimensional vectors. These are stored in a Pinecone "supportbot" index for instant retrieval.
- RAG-Powered Chat Agent: When a user sends a message through the chat widget, an AI Agent takes over. It uses the user's query to search the Pinecone database for relevant business facts.
- Intelligent Response Generation: The AI Agent passes the retrieved facts and the current chat history to Google Gemini, which generates a polite, accurate, and contextually relevant response for the user.
Requirements
- n8n Instance: A self-hosted or cloud instance of n8n.
- Google Gemini API Key: For text embeddings and chat generation.
- Pinecone Account: An API key and a "supportbot" index to store your knowledge base.
- Decodo Access: For high-quality website content extraction.
How to Use
- Initialize the Knowledge Base: Use the Form Trigger to input your website URL or Sitemap. Run the ingestion flow to populate your Pinecone index.
- Configure Credentials: Authenticate your Google Gemini and Pinecone accounts within n8n.
- Deploy the Chatbot: Enable the Chat Trigger node. Use the provided webhook URL to connect the backend to your website's frontend chat widget.
- Test & Refine: Interact with the bot to ensure it retrieves the correct data, and update your knowledge base by re-running the ingestion flow whenever your website content changes.
Business Use Cases
- Customer Support Teams - Automate answers to 80% of common FAQs using your existing documentation.
- E-commerce Sites - Help customers find product details, shipping policies, and return information instantly.
- SaaS Providers - Build an interactive technical documentation assistant to help users navigate your software.
- Marketing Agencies - Offer "AI-powered site search" as an add-on service for client websites.
Efficiency Gains
- Reduce Ticket Volume by providing instant self-service options.
- Eliminate Manual Data Entry by scraping content directly from the live website.
- Improve UX with 24/7 availability and zero wait times for customers.
Difficulty Level: Intermediate
Estimated Setup Time: 30 min
Monthly Operating Cost: Low (variable based on AI usage and Pinecone tier)