Breakdown Documents into Study Notes using Templating MistralAI and Qdrant

This n8n workflow takes in a document such as a research paper, marketing or sales deck or company filings, and breaks them down into 3 templates: study guide, briefing doc and timeline. These templates are designed to help a student, associate or clerk quickly summarise, learn and understand the contents to be more productive. Study guide - a short quiz of questions and answered generated by the AI Agent using the contents of the document. Briefing Doc - key information and insights are extracted by the AI into a digestable form. Timeline - key events, durations and people are identified and listed into a simple to understand timeline by the AI How it works A local file trigger watches a lo

Help me set up the n8n workflow "Breakdown Documents into Study Notes using Templating MistralAI and Qdrant" (https://n8n.io/workflows/2339). It uses: Summarization Chain, Basic LLM Chain, Question and Answer Chain, Item List Output Parser, Vector Store Retriever, Recursive Character Text Splitter, Default Data Loader, Embeddings Mistral Cloud, Mistral Cloud Chat Model, Qdrant Vector Store. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.