This n8n workflow automates the process of replying to FAQs using AI and vector search. It starts with a webhook trigger that captures incoming queries, which are then split into manageable chunks. These chunks are embedded into vector representations via Cohere, then stored in and queried from Pinecone for relevant information. The retrieved data feeds into an AI language model (using Anthropic) to generate precise responses. The workflow logs each interaction in Google Sheets for record-keeping and sends Slack alerts in case of errors. This system is ideal for websites or customer support platforms that handle frequent FAQ inquiries, enabling quick, accurate, and automated responses to improve customer experience.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStorePinecone, googleSheets, slack, stickyNote, webhook