Automated FAQ Response with Webhook and AI

Overview

This n8n workflow is designed to automate responses to frequently asked questions (FAQs) submitted through a webhook. It leverages the power of Langchain to process incoming text, embed it, query a vector database (Pinecone), and generate contextually relevant answers. The workflow first splits the incoming text using the Text Splitter node, then creates embeddings with the Embeddings node. These embeddings are then inserted into or queried from a Pinecone vector store. A RAG Agent, equipped with a Chat Model and Window Memory, uses a Vector Tool to retrieve and synthesize information, ultimately generating an automated response.

This workflow is particularly useful for businesses or services that receive a high volume of repetitive customer inquiries and wish to provide instant, accurate responses without manual intervention. It automates a customer support task, improves response times, and can log the status of each interaction.