Local RAG Chatbot with Ollama & Qdrant for PDFs

This n8n workflow enables a fully self-hosted RAG chatbot that processes PDF files, stores document chunks in a Qdrant vector database, and uses Ollama (Llama 3.2) with embeddings (mxbai-embed-large) to retrieve relevant information and generate accurate responses. The pipeline splits into Data Ingestion (form-based PDF upload and vector insertion) and Chatbot interaction, ensuring semantic search for precise answers without external APIs. Key benefits include complete data privacy, zero ongoin