Automated File Monitoring & AI Indexing with Qdrant and LangChain

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This n8n workflow automates the process of monitoring a specific folder for file additions, modifications, or deletions. It integrates local file management with advanced AI and vector storage capabilities. When a new file is added or changed, the workflow reads the file, creates embeddings via Mistral Cloud, and updates a Qdrant vector store accordingly. Deleted files are also synchronized by removing corresponding vectors from Qdrant. Additionally, the workflow enables an AI-powered Q&A system that leverages the stored vectors with LangChain, allowing users to ask questions about the content of their bank statements or documents. This setup is ideal for automating document management, enhancing knowledge bases, or creating AI assistants for document analysis.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chainRetrievalQa, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsMistralCloud, @n8n/n8n-nodes-langchain.lmChatMistralCloud, @n8n/n8n-nodes-langchain.retrieverVectorStore, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreQdrant, httpRequest, if, localFileTrigger, manualTrigger, readWriteFile, set, stickyNote, switch

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