Knowledge Base Search and Support Workflow

This n8n workflow automates the process of importing, indexing, and utilizing internal knowledge base documents to support support teams effectively. It performs several key functions: first, it manually triggers the process to fetch Google Docs with product documentation and inserts this content into a MongoDB collection, converting each document into vector embeddings for efficient search. When a user sends a chat message, the workflow triggers an AI-powered support agent that uses retrieval-augmented generation (RAG) to search the vector database for relevant information. It then combines the retrieved data with language model responses to generate clear, accurate answers for support queries. This setup is ideal for internal support teams needing quick, reliable access to extensive technical documentation, ensuring faster problem resolution and better knowledge management.