Automated Data Loading and AI-Driven Chatbot

This n8n workflow facilitates seamless data management and intelligent querying using AI models. It begins with loading textual data from a file, splits it into manageable chunks with a recursive character splitter, and indexes it into an in-memory vector store using Cohere embeddings. Users can trigger the workflow manually to load data or initiate a chat with the AI. When a chat is initiated, the system embeds the incoming message, retrieves relevant data chunks from the vector store, and uses Groq or Cohere language models to generate a context-aware response. This setup is ideal for applications like AI-powered customer support, knowledge base querying, or interactive data exploration, enabling real-time, intelligent interactions with large datasets stored in a vector database.