Automated Semantic Data Processing and Chatbot Integration

This n8n workflow automates the process of ingesting, processing, and utilizing documents and chat interactions with a focus on semantic search and contextual understanding. It begins with a webhook trigger that captures PDF file submissions through a form, then processes and stores the document embeddings in a semantic vector database (Qdrant). The workflow also includes a chat interface, allowing users to ask questions based on the ingested data, with responses generated via an Ollama-based language model. Key nodes include document ingestion, text splitting, embedding generation, vector storage, and a conversational AI agent that retrieves relevant data to answer queries. This setup is ideal for creating a dynamic knowledge base or AI-powered customer support system that continuously updates with new data and provides intelligent, context-aware responses.