Build a Financial Documents Assistant using Qdrant and Mistral.ai

This n8n workflow demonstrates how to manage your Qdrant vector store when there is a need to keep it in sync with local files. It covers creating, updating and deleting vector store records ensuring our chatbot assistant is never outdated or misleading. Disclaimer This workflow depends on local files accessed through the local filesystem and so will only work on a self-hosted version of n8n at this time. It is possible to amend this workflow to work on n8n cloud by replacing the local file trigger and read file nodes. How it works A local directory where bank statements are downloaded to is monitored via a local file trigger. The trigger watches for the file create, file changed and file de

Help me set up the n8n workflow "Build a Financial Documents Assistant using Qdrant and Mistral.ai" (https://n8n.io/workflows/2335). It uses: HTTP Request, Question and Answer Chain, 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.